Search the World's Largest Database of Information Science & Technology Terms & Definitions
InfInfoScipedia LogoScipedia
A Free Service of IGI Global Publishing House
Below please find a list of definitions for the term that
you selected from multiple scholarly research resources.

What is Machine Learning

Chapter 5
Handbook of Research on Foundations and Applications of Intelligent Business Analytics
Is concerned with how computers can adapt to new circumstances and detect and extrapolate patterns and knowledge.
Published in Chapter:
A Process-Oriented Framework for Regulating Artificial Intelligence Systems
Andrew Stranieri (Federation University, Australia) and Zhaohao Sun (Papua New Guinea University of Technology, Papua New Guinea)
Copyright: © 2022 |Pages: 17
DOI: 10.4018/978-1-7998-9016-4.ch005
Abstract
Frameworks for the regulation of artificial intelligence (AI) systems are emerging; some are based on regulation theories; others are more technologically focused. Regulation of AI systems is likely to emerge in an ad-hoc, unstructured, and uncoordinated fashion that renders high level frameworks philosophically interesting but of limited benefit in practice. In this paper, the task of arriving at a collection of interventions that regulate an AI system is taken to be a process-oriented problem. It presents a process-oriented framework for the design of regulating systems by deliberating groups. It also discusses regulations of AI systems and responsibility, mechanisms and institutions, key elements for regulating AI systems. The proposed approach might facilitate research and development of responsible AI, explainable AI, and ethical AI for an ethical and inclusive digitized society. It also has implications for the development of e-business, e-services, and e-society.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Chapter 4
Concerning the Integration of Machine Learning Content in Mechatronics Curricula
A branch of artificial intelligence. Summarizes different approaches to “learn” from data.
Published in Chapter: Concerning the Integration of Machine Learning Content in Mechatronics Curricula; From: Revolutionizing Education in the Age of AI and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 133
Internet of Things and Data Science in Healthcare
The field of study that deals with the construction of algorithms that can learn from data and make predictions on data.
Published in Chapter: Internet of Things and Data Science in Healthcare; From: Encyclopedia of Information Science and Technology, Fifth Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 17
Comparison of Machine Learning Algorithms in Predicting the COVID-19 Outbreak
A sub-branch of artificial intelligence and makes data-based predictions using existing data.
Published in Chapter: Comparison of Machine Learning Algorithms in Predicting the COVID-19 Outbreak; From: Handbook of Research on Interdisciplinary Perspectives on the Threats and Impacts of Pandemics
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Forecasting Techniques for the Pandemic Trend of COVID-19
A subject of artificial intelligence that aims at the task of computational algorithms, which allow machines to learning objects automatically through historical data.
Published in Chapter: Forecasting Techniques for the Pandemic Trend of COVID-19; From: Applied Big Data Analytics and Its Role in COVID-19 Research
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 2
A Survey on Emerging Cyber Crimes and Their Impact Worldwide
It is the science of training the machine how to learn using algorithms and mathematical models to improve their performance.
Published in Chapter: A Survey on Emerging Cyber Crimes and Their Impact Worldwide; From: Encyclopedia of Criminal Activities and the Deep Web
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Introduction and Implementation of Machine Learning Algorithms in R
Helps machine to perform action without being explicitly coding.
Published in Chapter: Introduction and Implementation of Machine Learning Algorithms in R; From: Sentiment Analysis and Knowledge Discovery in Contemporary Business
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
U.S. Unemployment Rate Prediction by Economic Indices in the COVID-19 Pandemic Using Neural Network, Random Forest, and Generalized Linear Regression
An application of artificial intelligence on the basis of automatically learn and adapt from data. Also known as a data analysis method that utilize intrinsic self-learning system to help on making prediction.
Published in Chapter: U.S. Unemployment Rate Prediction by Economic Indices in the COVID-19 Pandemic Using Neural Network, Random Forest, and Generalized Linear Regression; From: Biomedical and Business Applications Using Artificial Neural Networks and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 4
Applying Smart Security Model to Protect Client Services From the Threats of the Optical Network
Is a branch of artificial intelligence (AI) that offers the ability to learn and improve from experience automatically without using any programming.
Published in Chapter: Applying Smart Security Model to Protect Client Services From the Threats of the Optical Network; From: Advancements in Security and Privacy Initiatives for Multimedia Images
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 19
Image Processing and Machine Learning Techniques for the Segmentation of cDNA
It refers to the design and development of algorithms and techniques that allow computers to “learn”. The purpose of machine learning is to extract information from several types of data automatically, using computational and statistical methods.
Published in Chapter: Image Processing and Machine Learning Techniques for the Segmentation of cDNA; From: Handbook of Research on Advanced Techniques in Diagnostic Imaging and Biomedical Applications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 181
Knowledge-Based Artificial Intelligence: Methods and Applications
Branch of Artificial Intelligence based on building models by learning directly from data while minimizing human effort.
Published in Chapter: Knowledge-Based Artificial Intelligence: Methods and Applications; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
The Application of Machine Learning for Predicting Global Seismicity
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
Evolution of Integration, Build, Test, and Release Engineering Into DevOps and to DevSecOps
A branch of Artificial Intelligence which involves writing programs that can identify patterns, learn from data, and make predictions.
Published in Chapter: Evolution of Integration, Build, Test, and Release Engineering Into DevOps and to DevSecOps; From: Tools and Techniques for Software Development in Large Organizations: Emerging Research and Opportunities
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 15
Artificial Intelligence and Robotics-Based Minimally Invasive Surgery: Innovations and Future Perceptions
A branch of computer science and artificial intelligence (AI) that focuses on emulating human learning and steadily improving accuracy through the use of data and algorithms.
Published in Chapter: Artificial Intelligence and Robotics-Based Minimally Invasive Surgery: Innovations and Future Perceptions; From: Contemporary Applications of Data Fusion for Advanced Healthcare Informatics
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
A Brief Overview on Intelligent Computing-Based Biological Data and Image Analysis
It is the ability of a system to learn or adapt something automatically from the environment, that is, experiments performed or the data being shown to the system and can make some decision in the unknown environment without any human intervention.
Published in Chapter: A Brief Overview on Intelligent Computing-Based Biological Data and Image Analysis; From: Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Recent and Emerging Technologies in Industrial IoT
Machine learning is a growing technology which enables computers to learn automatically from past data. Machine learning uses various algorithms for building mathematical models and making predictions using historical data or information.
Published in Chapter: Recent and Emerging Technologies in Industrial IoT; From: Opportunities and Challenges of Industrial IoT in 5G and 6G Networks
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 17
Predicting Human Actions Using a Hybrid of ReliefF Feature Selection and Kernel-Based Extreme Learning Machine
A system that studies the construction and working principle of algorithms that can be learned as structural function and can predict from data.
Published in Chapter: Predicting Human Actions Using a Hybrid of ReliefF Feature Selection and Kernel-Based Extreme Learning Machine; From: Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
Two Enhancement Levels for Male Fertility Rate Categorization Using Whale Optimization and Pegasos Algorithms
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
Applying Artificial Intelligence to Financial Investing
A method of automatically learning patterns from data in order to make future predictions.
Published in Chapter: Applying Artificial Intelligence to Financial Investing; From: Advanced Methodologies and Technologies in Business Operations and Management
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 40
An Introduction to Clustering Algorithms in Big Data
It is an application of artificial intelligence that incorporate the ability to learn automatically in the system.
Published in Chapter: An Introduction to Clustering Algorithms in Big Data; From: Encyclopedia of Information Science and Technology, Fifth Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 6
Machine Learning With Avatar-Based Management of Sleptsov Net-Processor Platform to Improve Cyber Security
Is the use of artificial intelligence (AI) that provides systems with the capability to learn and automatically improve from experience (data) without being explicitly programmed.
Published in Chapter: Machine Learning With Avatar-Based Management of Sleptsov Net-Processor Platform to Improve Cyber Security; From: Machine Learning and Cognitive Science Applications in Cyber Security
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for the Indian Perspective
Machine learning (ML) is the scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. It is seen as a subset of artificial intelligence.
Published in Chapter: Social Perspective of Suspicious Activity Detection in Facial Analysis: An ML-Based Approach for the Indian Perspective; From: Artificial Intelligence Paradigms for Smart Cyber-Physical Systems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Ethical Rationality in AI: On the Prospect of Becoming a Full Ethical Agent
The process by which machines “learn” from vast amounts of data which they are fed. This technology is mostly associated with algorithms and artificial neural networks that are optimized so that they can combine data, detect patterns, and produce novel output at a speed highly superior to human-level intelligence.
Published in Chapter: Ethical Rationality in AI: On the Prospect of Becoming a Full Ethical Agent; From: Machine Law, Ethics, and Morality in the Age of Artificial Intelligence
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 28
Self-Driving Robotic Cars: Cyber Security Developments
Machine learning is described as a research area that deals with designing algorithms. An important feature of those algorithms is the automatic improvement of technical systems that rely on experience – the automatic improvement follows rules and measures pre-set by the human developer. With machine learning, we need clearly defined tasks, the accompanying metrics, and training data.
Published in Chapter: Self-Driving Robotic Cars: Cyber Security Developments; From: Handbook of Research on Cyber Crime and Information Privacy
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 22
Artificial Intelligence: Current Issues and Applications
The artificial intelligence discipline geared toward the technological development of human knowledge.
Published in Chapter: Artificial Intelligence: Current Issues and Applications; From: Handbook of Research on Manufacturing Process Modeling and Optimization Strategies
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
Development Trends in Robotization and Artificial Intelligence
The design and application of computer algorithms that automatically improve when using data.
Published in Chapter: Development Trends in Robotization and Artificial Intelligence; From: The Strategies of Informing Technology in the 21st Century
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 120
Hierarchical Neuro-Fuzzy Systems Part I
Concerned with the design and development of algorithms and techniques that allow computers to “learn”. The major focus of machine learning research is to automatically extract useful information from historical data, by computational and statistical methods
Published in Chapter: Hierarchical Neuro-Fuzzy Systems Part I; From: Encyclopedia of Artificial Intelligence
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Machine Learning Application With Avatar-Based Management Security to Reduce Cyber Threat
Is a class of methods of artificial/natural intelligence, the characteristic feature of which is not a direct solution of the problem, but training in the process of applying solutions to a set of similar problems.
Published in Chapter: Machine Learning Application With Avatar-Based Management Security to Reduce Cyber Threat; From: Machine Learning and Cognitive Science Applications in Cyber Security
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
e-WOM Analysis Methods
Machine learning is the application of algorithms and statistical models in order to perform a specific task automatically using artificial intelligence instead of explicitly providing instructions to the algorithm or model.
Published in Chapter: e-WOM Analysis Methods; From: Exploring the Power of Electronic Word-of-Mouth in the Services Industry
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 4
An IoT-Based Energy Meter for Energy Level Monitoring, Predicting, and Optimization
Machine learning is a next level of artificial intelligence that gives systems capability to learn without human intervention and improve from practice without any human programming. It targets on the program development; it can be able data access and data learning for themselves.
Published in Chapter: An IoT-Based Energy Meter for Energy Level Monitoring, Predicting, and Optimization; From: Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 160
Predicting Estimated Arrival Times in Logistics Using Machine Learning
Sub-field of Artificial Intelligence which comprises various methods that enable computer systems to extract patterns from data.
Published in Chapter: Predicting Estimated Arrival Times in Logistics Using Machine Learning; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 12
Artificial Intelligence and Supply Chain Management Application, Development, and Forecast
Computers with the ability to learn without being explicitly programmed, computers learn and solve programs.
Published in Chapter: Artificial Intelligence and Supply Chain Management Application, Development, and Forecast; From: Handbook of Research on Applied AI for International Business and Marketing Applications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
Introduction to Artificial Intelligence
Is a section of AI that deals with the ability of a machine to learn for the set of experiences it has been exposed to.
Published in Chapter: Introduction to Artificial Intelligence; From: Handbook of Research on AI Methods and Applications in Computer Engineering
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 130
Credit Risk Assessment and Data Mining
Sub-area of artificial intelligence that includes techniques able to learn new concepts from a set of samples.
Published in Chapter: Credit Risk Assessment and Data Mining; From: Encyclopedia of Information Science and Technology, Second Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 4
Ionization, Gadget Radiation Analysis, and Disease Control by Yajna: An Ancient Vedic Wisdom for Human Health Relevant Amidst Pandemic Threats
Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.
Published in Chapter: Ionization, Gadget Radiation Analysis, and Disease Control by Yajna: An Ancient Vedic Wisdom for Human Health Relevant Amidst Pandemic Threats; From: Handbook of Research on Interdisciplinary Studies on Healthcare, Culture, and the Environment
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 42
Current Challenges in Intrusion Detection Systems
A research area of artificial intelligence, which is interested in developing algorithms to extract knowledge from the given data.
Published in Chapter: Current Challenges in Intrusion Detection Systems; From: Encyclopedia of Multimedia Technology and Networking, Second Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Autonomous Integrated Business Planning
Machine learning is a field of artificial intelligence that uses statistical techniques to understand the patterns behind the data, establish co-relation between those patterns and “learn” from data, without being explicitly programmed
Published in Chapter: Autonomous Integrated Business Planning; From: Digital Supply Chain, Disruptive Environments, and the Impact on Retailers
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 21
The Summers and Winters of Artificial Intelligence
AI programs that extract useful patterns from vast amounts of data and makes unforeseen predictions based on these data, without explicit programming.
Published in Chapter: The Summers and Winters of Artificial Intelligence; From: Encyclopedia of Information Science and Technology, Fourth Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services
A learning technique that gives machines the ability to learn without being explicitly programmed. It is seen as a subset of Artificial Intelligence.
Published in Chapter: Exploring the Possibilities of Artificial Intelligence and Big Data Techniques to Enhance Gamified Financial Services; From: Next-Generation Applications and Implementations of Gamification Systems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 29
Variable Importance Evaluation for Machine Learning Tasks
Computational methods that are used in data mining tasks such as clustering, classification and prediction.
Published in Chapter: Variable Importance Evaluation for Machine Learning Tasks; From: Encyclopedia of Information Science and Technology, Third Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Humans Enter the Age of Avatarism
The scientific study of algorithms and statistical models that computer systems use to perform a specific task without using explicit instructions, relying on patterns and inference instead. Seen as a subset of artificial intelligence, machine learning algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to perform a task ( https://en.wikipedia.org/wiki/Machine_learning ).
Published in Chapter: Humans Enter the Age of Avatarism; From: Handbook of Research on the Global Impacts and Roles of Immersive Media
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 19
Recognizing Physical Activities using Wearable Devices
It is a scientific approach that can learn from data, machine learning algorithms build a model from training data which is used for predictions or decisions.
Published in Chapter: Recognizing Physical Activities using Wearable Devices; From: Handbook of Research on Innovations in the Diagnosis and Treatment of Dementia
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 207
Stochastic Programming and Value Based Decisions
A computational methodology that provides automatic means of improving programmed tasks from experience.
Published in Chapter: Stochastic Programming and Value Based Decisions; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 45
Automated Image Analysis Approaches in Histopathology
The automation of the classification of different regions in the image as objects.
Published in Chapter: Automated Image Analysis Approaches in Histopathology; From: Handbook of Research on Systems Biology Applications in Medicine
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Topical Repute on Artificial Intelligence-Based Approaches in COVID-19 Supervision: Distinct Kingpin on Drug Re-Purposing Blueprint
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 289
Towards Low-Cost Energy Monitoring
The design and development of computer program based on statistics rules, which is used to learn facts from some data.
Published in Chapter: Towards Low-Cost Energy Monitoring; From: Encyclopedia of Information Science and Technology, Third Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 14
Artificial Intelligence a Driver for Digital Transformation
Is scientific study of algorithms and statistical models that perform various functions without having to be programmed by a human, and without using explicit instructions, relying on patterns and inference. ML algorithms build a mathematical model based on sample data, known as “training data”, in order to make predictions or decisions. Its application to business is referred as predictive analytics.
Published in Chapter: Artificial Intelligence a Driver for Digital Transformation; From: Handbook of Research on Digital Transformation and Challenges to Data Security and Privacy
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 34
User-Adapted Information Services
Machine learning is a subfield of Artificial Intelligence which provides algorithms for the discovery of relations or rules in large data sets. Machine learning leads to functions which can automatically classify or categorize objects based on their features. Inductive learning from labeled examples is the most well known application.
Published in Chapter: User-Adapted Information Services; From: Handbook of Research on Digital Libraries: Design, Development, and Impact
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 154
Artificial Intelligence and Machine Learning Innovation in SDGs
Is a subfield of artificial intelligence where machines are trained to imitate human intelligence, thereby being able to perform complex tasks.
Published in Chapter: Artificial Intelligence and Machine Learning Innovation in SDGs; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
The Internet of Things in the Corporate Environment: Cross-Industry Perspectives and Implementation Issues
A technology used to make a computer-controlled device, to observe, understand and learn a given situation and make future predictions like a human brain.
Published in Chapter: The Internet of Things in the Corporate Environment: Cross-Industry Perspectives and Implementation Issues; From: Handbook of Research on Digital Transformation, Industry Use Cases, and the Impact of Disruptive Technologies
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 33
Artificial Intelligence, Consumers, and the Experience Economy
Machine learning is the development and use of computer algorithms that automatically through experience and by training on data.
Published in Chapter: Artificial Intelligence, Consumers, and the Experience Economy; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 17
Machine Learning in the Catering Industry
Algorithms that allow machines to learn automatically.
Published in Chapter: Machine Learning in the Catering Industry; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
Time Series Forecasting in Retail Sales Using LSTM and Prophet
A branch of artificial intelligence that studies computational algorithms that adapt their parameters accordingly to a given training dataset.
Published in Chapter: Time Series Forecasting in Retail Sales Using LSTM and Prophet; From: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 6
The Application of Big Data and Cloud Computing Among Smallholder Farmers in Sub-Saharan Africa
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 6
Artificial Intelligence in Innovation Labs: Map of Cases for the Public Sector
Is an artificial intelligence technique that allows to learn patterns and generate answers from the analysis of millions of data and records.
Published in Chapter: Artificial Intelligence in Innovation Labs: Map of Cases for the Public Sector; From: Handbook of Research on Applied Artificial Intelligence and Robotics for Government Processes
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 234
Value Based Decision Control for Complex Systems
A computational methodology that provides automatic means of improving programmed tasks from experience.
Published in Chapter: Value Based Decision Control for Complex Systems; From: Encyclopedia of Business Analytics and Optimization
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Digital Transformation in Contemporary Organizations: Creativity and Innovation in the 4th Industrial Revolution
A system where relationship among input and output can be established through feature extraction and classification distinctly.
Published in Chapter: Digital Transformation in Contemporary Organizations: Creativity and Innovation in the 4th Industrial Revolution; From: Multidisciplinary Approaches in AI, Creativity, Innovation, and Green Collaboration
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 90
Machine Learning for Decision Support in the ICU
Machine learning is a kind of algorithm that provides systems the ability to automatically learn and improve from data without human intervention.
Published in Chapter: Machine Learning for Decision Support in the ICU; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 7
The Future of Advertising: Influencing and Predicting Response Through Artificial Intelligence, Machine Learning, and Neuroscience
Is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
Published in Chapter: The Future of Advertising: Influencing and Predicting Response Through Artificial Intelligence, Machine Learning, and Neuroscience; From: Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 13
Sentiment Analysis, Social Media, and Public Administration
It is a subfield of artificial intelligence often used in data mining that identifies rules and patterns of large data sets (NLP), based on the use of algorithms and application training through a training corpus.
Published in Chapter: Sentiment Analysis, Social Media, and Public Administration; From: Handbook of Research on Democratic Strategies and Citizen-Centered E-Government Services
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 30
A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses
Machine learning is an area of artificial intelligence concerned with the development of techniques that allow computers to learn. Learning is the ability of the machine to improve its performance based on previous results.
Published in Chapter: A Machine Learning Approach to Data Cleaning in Databases and Data Warehouses; From: Handbook of Research on Fuzzy Information Processing in Databases
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 12
Evolving Cyber Threats, Combating Techniques, and Open Issues in Online Social Networks
Machine Learning is a subdivision of artificial intelligence. Machine learning is the study of computer algorithms which, through experience, automatically improve.
Published in Chapter: Evolving Cyber Threats, Combating Techniques, and Open Issues in Online Social Networks; From: Handbook of Research on Cyber Crime and Information Privacy
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
IoT-Based Health Risk Prediction by Collecting and Analyzing HIIT Data in Real Time Using Edge Computing
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 21
A Literature Review on Thyroid Hormonal Problems in Women Using Data Science and Analytics: Healthcare Applications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
A Comparative Study of Machine Learning Techniques for Gesture Recognition Using Kinect
A subfield of computer science that evolved from the study of pattern recognition and computational learning theory in artificial intelligence.
Published in Chapter: A Comparative Study of Machine Learning Techniques for Gesture Recognition Using Kinect; From: Handbook of Research on Human-Computer Interfaces, Developments, and Applications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 16
Data Science Process for Smart Cities
Supervised and unsupervised learning methods and techniques.
Published in Chapter: Data Science Process for Smart Cities; From: Latin American Women and Research Contributions to the IT Field
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
Smart System and Services Using Artificial Intelligence and Machine Learning Algorithms: Sky of AI
Without being specifically designed to do so, machine learning (ML), a form of artificial intelligence (AI), enables software systems to become better at making predictions about the future.
Published in Chapter: Smart System and Services Using Artificial Intelligence and Machine Learning Algorithms: Sky of AI; From: Applying Drone Technologies and Robotics for Agricultural Sustainability
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 12
Hybrid Intrusion Detection System for Smart Home Applications
It refers to a technique that automates building analytical models using algorithms to analyse large amounts of data. It is based on the idea that computer systems can learn by identifying patterns within data and make decisions with minimal human intervention.
Published in Chapter: Hybrid Intrusion Detection System for Smart Home Applications; From: Developing and Monitoring Smart Environments for Intelligent Cities
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model
A subfield of Artificial Intelligence that enables systems to learn and improve based upon previous experience and data without the need of explicit programming.
Published in Chapter: Automatic Image Captioning Using Different Variants of the Long Short-Term Memory (LSTM) Deep Learning Model; From: Deep Learning Research Applications for Natural Language Processing
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 16
Machine Learning Approach to Search Query Classification
The area of artificial intelligence that studies the algorithms and processes that allow machines to learn. These algorithms use a combination of techniques to learn from examples, from prior knowledge, or from experience.
Published in Chapter: Machine Learning Approach to Search Query Classification; From: Handbook of Research on Web Log Analysis
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Role of Artificial Intelligence in Cyber Security: A Useful Overview
Is a branch of Artificial Intelligence which focus on using data and applying algorithms to make predictions and classify data. Machine Learning broadly has three types of classification algorithms, supervised learning, unsupervised learning and reinforcement learning.
Published in Chapter: Role of Artificial Intelligence in Cyber Security: A Useful Overview; From: Information Security Practices for the Internet of Things, 5G, and Next-Generation Wireless Networks
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 14
The Pivotal Role of Edge Computing With Machine Learning and Its Impact on Healthcare
The major role played by the machine learning is to detect the disease through the image processing techniques, which could be very hard through the normal diagnosis. This disease could be anything like genetic disorders or cancers that is very difficult to be diagnosed at a very initial stage.
Published in Chapter: The Pivotal Role of Edge Computing With Machine Learning and Its Impact on Healthcare; From: Deep Neural Networks for Multimodal Imaging and Biomedical Applications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 13
The Edgard Project: Towards a Discussion of Ethical Tech in Art and Design
A computer process utilized to improve itself using new data inputted in an analytical model.
Published in Chapter: The Edgard Project: Towards a Discussion of Ethical Tech in Art and Design; From: Smart Systems Design, Applications, and Challenges
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 12
Artificial Intelligence Applications for Event Management and Marketing
Refers to computer science techniques used to give machines the ability to learn without the need for explicit programming (Birer, 2020).
Published in Chapter: Artificial Intelligence Applications for Event Management and Marketing; From: Impact of ICTs on Event Management and Marketing
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 17
User Sentiment Prediction and Analysis for Payment App Reviews Using Supervised and Unsupervised Machine Learning Approaches
An area of artificial intelligence (AI) that includes the creation of algorithms and models that can learn from and anticipate or make choices based on data.
Published in Chapter: User Sentiment Prediction and Analysis for Payment App Reviews Using Supervised and Unsupervised Machine Learning Approaches; From: Handbook of Research on AI and Machine Learning Applications in Customer Support and Analytics
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 2
Interdisciplinary Application of Machine Learning, Data Science, and Python for Cricket Analytics
A subfield of artificial intelligence that involves the development of algorithms and models that enable computers to learn and improve from experience.
Published in Chapter: Interdisciplinary Application of Machine Learning, Data Science, and Python for Cricket Analytics; From: Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 58
Understanding Machine Learning Concepts
It refers to a learning technique that gives machines the ability to learn without being explicitly programmed. It is seen as a subset of Artificial Intelligence.
Published in Chapter: Understanding Machine Learning Concepts; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Artificial Intelligence and Machine Learning Algorithms
Machine learning (ML) is the branch of computer science that comes under the umbrella of Artificial Intelligence. ML deals with the learning of machines to perform various tasks that can be done better than human beings.
Published in Chapter: Artificial Intelligence and Machine Learning Algorithms; From: Challenges and Applications for Implementing Machine Learning in Computer Vision
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Opportunities and Challenges of Using Big Data Applications in Institutions of Higher Learning Libraries and Research Institutions
An application of artificial intelligence that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Published in Chapter: Opportunities and Challenges of Using Big Data Applications in Institutions of Higher Learning Libraries and Research Institutions; From: Big Data Applications for Improving Library Services
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 14
Data Mining Applications in Computer-Supported Collaborative Learning
Is a subfield of computer science and artificial intelligence that deals with the construction and study of systems that can learn from data, rather than follow only explicitly programmed instructions. Machine learning is employed in a range of computing tasks where designing and programming explicit rule-based algorithms is infeasible for a variety of reasons.
Published in Chapter: Data Mining Applications in Computer-Supported Collaborative Learning; From: Handbook of Research on Interactive Information Quality in Expanding Social Network Communications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
Smart Agriculture Services Using Deep Learning, Big Data, and IoT (Internet of Things)
It is again a sub set of AI in which we classify the data with the help of input data set, ANN, SVM, Random Forest are some of the algorithm used in this case.
Published in Chapter: Smart Agriculture Services Using Deep Learning, Big Data, and IoT (Internet of Things); From: Smart Agricultural Services Using Deep Learning, Big Data, and IoT
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 62
Customer Analytics Using Sentiment Analysis and Net Promoter Score
The study of computer algorithms that can improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
Published in Chapter: Customer Analytics Using Sentiment Analysis and Net Promoter Score; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 7
Analyzing and Predicting Learner Sentiment Toward Specialty Schools Using Machine Learning Techniques
A type of data analysis that automates the process of creating analytical models. It's a branch of artificial intelligence (AI) based on the idea that machines can learn from data, detect patterns, and make decisions with little or no human input.
Published in Chapter: Analyzing and Predicting Learner Sentiment Toward Specialty Schools Using Machine Learning Techniques; From: Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
Multi-Criteria Decision Making With Machine Learning for Vehicle Routing Problem
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
Artificial Intelligence Applications in Agricultural Sustainability: Enhancing Efficiency and Resilience
ML is a subset of AI that focuses on the development of algorithms and statistical models that allow computers to learn from and make predictions or decisions based on data without explicit programming.
Published in Chapter: Artificial Intelligence Applications in Agricultural Sustainability: Enhancing Efficiency and Resilience; From: Convergence of Cloud Computing, AI, and Agricultural Science
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 6
Analysis of Big Data
Machine learning is the science of computer algorithms which can learn and develop on their own with experience and data. It is considered to be a component of artificial intelligence.
Published in Chapter: Analysis of Big Data; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 15
Threat Detection in Cyber Security Using Data Mining and Machine Learning Techniques
The field of study that is concerned with given computers the ability to learn from their experience and environment without being explicitly programmed.
Published in Chapter: Threat Detection in Cyber Security Using Data Mining and Machine Learning Techniques; From: Modern Theories and Practices for Cyber Ethics and Security Compliance
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 385
Linguistic Indexing of Images with Database Mediation
An area of artificial intelligence that allows computers to apply rules and algorithms in a learning process. It overlaps with data mining and statistics and has wide applications in areas such as object recognition, computer vision, robot locomotion and bioinformatics.
Published in Chapter: Linguistic Indexing of Images with Database Mediation; From: Encyclopedia of Information Science and Technology, Second Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Understanding Data Analytics Is Good but Knowing How to Use It Is Better!
A method of designing a sequence of actions to solve a problem that optimizes automatically through experience and with limited or no human intervention.
Published in Chapter: Understanding Data Analytics Is Good but Knowing How to Use It Is Better!; From: Big Data Analytics for Entrepreneurial Success
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
The Role of Artificial Intelligence in Cyber Security
A facet of AI that focuses on algorithms, allowing machines to learn without being programmed and change when exposed to new data.
Published in Chapter: The Role of Artificial Intelligence in Cyber Security; From: Countering Cyber Attacks and Preserving the Integrity and Availability of Critical Systems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 92
Forecasting Techniques for Energy Optimization in Buildings
A branch of artificial intelligence related to the design of algorithms that learn dynamically from examples of their input variables to make estimations about the output ones.
Published in Chapter: Forecasting Techniques for Energy Optimization in Buildings; From: Encyclopedia of Information Science and Technology, Third Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 14
Artificial Intelligence in Education: Current Insights and Future Perspectives
A field of artificial intelligence that uses statistical techniques to give computer systems the ability to learn.
Published in Chapter: Artificial Intelligence in Education: Current Insights and Future Perspectives; From: Handbook of Research on Learning in the Age of Transhumanism
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
A Survey on Intelligence Tools for Data Analytics
It refers to developing the ability in computers to use available data to train themselves automatically, and to learn from its own experiences without being explicitly programmed.
Published in Chapter: A Survey on Intelligence Tools for Data Analytics; From: Handbook of Research on Engineering, Business, and Healthcare Applications of Data Science and Analytics
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
Patient Data De-Identification: A Conditional Random-Field-Based Supervised Approach
A field of computer science that exploits the development of the algorithms for making a prediction on the data on the basis of its learning.
Published in Chapter: Patient Data De-Identification: A Conditional Random-Field-Based Supervised Approach; From: Handbook of Research on Applied Cybernetics and Systems Science
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Multi-Criteria Decision-Making Techniques for Histopathological Image Classification
A field of information technology that has the ability to learn data insights by using statistical techniques.
Published in Chapter: Multi-Criteria Decision-Making Techniques for Histopathological Image Classification; From: Histopathological Image Analysis in Medical Decision Making
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 14
Machine Learning for Smart Tourism and Retail
The field in computer science which is concerned on the development of algorithms that can make computers learn from data.
Published in Chapter: Machine Learning for Smart Tourism and Retail; From: Handbook of Research on Big Data Clustering and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Behavioral Analytics of Consumer Complaints
is a sort of data analysis that uses artificial intelligence to automate the process of developing analytical models. It's a branch of AI based on the premise that robots can learn from data, discover patterns, and make judgments with little or no human involvement.
Published in Chapter: Behavioral Analytics of Consumer Complaints; From: AI-Driven Intelligent Models for Business Excellence
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Humans Need Not Apply: Artificial Intelligence, Robotics, Machine Learning, and the Future of Work
Is a branch of AI, which encompasses the study of algorithms and statistical models used by computers to execute specific tasks without using explicit commands.
Published in Chapter: Humans Need Not Apply: Artificial Intelligence, Robotics, Machine Learning, and the Future of Work; From: Anywhere Working and the Future of Work
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
The Role of Big Data Analytics in Drug Discovery and Vaccine Development Against COVID-19
A subject of artificial intelligence that aims at the task of computational algorithms, which allow machines to learning objects automatically through historical data.
Published in Chapter: The Role of Big Data Analytics in Drug Discovery and Vaccine Development Against COVID-19; From: Applied Big Data Analytics and Its Role in COVID-19 Research
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
Contemporary Imagetics and Post-Images in Digital Media Art: Inspirational Artists and Current Trends (1948-2020)
Computer algorithms that use data to train and automatically improve over experience.
Published in Chapter: Contemporary Imagetics and Post-Images in Digital Media Art: Inspirational Artists and Current Trends (1948-2020); From: Multidisciplinary Perspectives on New Media Art
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 12
Improving Customer Experience Using Sentiment Analysis in E-Commerce
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Automated Essay Scoring Using Deep Learning Algorithms
A rising area in computer science, where the computer systems are programmed to learn information from rich data sets to produce reliable results to a given problem.
Published in Chapter: Automated Essay Scoring Using Deep Learning Algorithms; From: Handbook of Research on Modern Educational Technologies, Applications, and Management
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 10
Prediction and Analysis of Financial Crises Using Machine Learning
A field of artificial intelligence that involves the development of algorithms and models that enable computers to learn and make predictions or decisions without explicit programming.
Published in Chapter: Prediction and Analysis of Financial Crises Using Machine Learning; From: Advancement in Business Analytics Tools for Higher Financial Performance
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 7
The Development of Small-Medium Enterprises (SMEs) and the Role of Digital Ecosystems During the COVID-19 Pandemic: A Case of Indonesia
Machine learning is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence.
Published in Chapter: The Development of Small-Medium Enterprises (SMEs) and the Role of Digital Ecosystems During the COVID-19 Pandemic: A Case of Indonesia; From: Handbook of Research on Current Trends in Asian Economics, Business, and Administration
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Redefining the Meaning of Learning
A subset of AI that leverages computer algorithms that improve from one iteration to the other through the analysis and processing of data.
Published in Chapter: Redefining the Meaning of Learning; From: Handbook of Research on Future of Work and Education: Implications for Curriculum Delivery and Work Design
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 6
A Hybrid Classification Algorithm and Its Application on Four Real-World Data Sets
The scientific study of using computer systems and improving it to be able to learn and adapt without using an explicit instruction.
Published in Chapter: A Hybrid Classification Algorithm and Its Application on Four Real-World Data Sets; From: Advanced Bioinspiration Methods for Healthcare Standards, Policies, and Reform
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 2
Machine Learning in Computer Vision
A part of the artificial intelligence domain. It consists of various algorithms which can be used to analyze data and get some insights from the data.
Published in Chapter: Machine Learning in Computer Vision; From: Applications of Machine Learning and Artificial Intelligence in Education
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 15
Comparative Study on ASD Identification Using Machine and Deep Learning
Is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
Published in Chapter: Comparative Study on ASD Identification Using Machine and Deep Learning; From: Interdisciplinary Approaches to Altering Neurodevelopmental Disorders
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability
Mechanisms that use datasets to find patterns and correlations in order to build models which will be applied to new data in order to predict its outcomes.
Published in Chapter: Monitoring, Predicting, and Optimizing Energy Consumptions: A Goal Toward Global Sustainability; From: Smart Systems Design, Applications, and Challenges
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 107
Using Machine Learning to Extract Insights From Consumer Data
An approach to derive computer algorithms and statistical models that can learn to improve their performance based on use of data, without explicit instructions (data-generative models).
Published in Chapter: Using Machine Learning to Extract Insights From Consumer Data; From: Encyclopedia of Data Science and Machine Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 15
User Experience Measurement: Recent Practice of E-Businesses
Application of AI that makes systems to instinctively learn and get better from experience without the use of explicit instructions.
Published in Chapter: User Experience Measurement: Recent Practice of E-Businesses; From: Handbook of Research on User Experience in Web 2.0 Technologies and Its Impact on Universities and Businesses
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Deep Learning and Sustainable Telemedicine
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.
Published in Chapter: Deep Learning and Sustainable Telemedicine; From: Impacts of Information Technology on Patient Care and Empowerment
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
Crow-ENN: An Optimized Elman Neural Network with Crow Search Algorithm for Leukemia DNA Sequence Classification
Machine learning is a subfield of AI, which is concerned with designing and development of computer algorithms which get improved with experience.
Published in Chapter: Crow-ENN: An Optimized Elman Neural Network with Crow Search Algorithm for Leukemia DNA Sequence Classification; From: Mobile Devices and Smart Gadgets in Medical Sciences
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
A Machine Learning Approach to Classify the Telecommunication Customers Based on Their Profitability
Machine learning (ML) is a sort of artificial intelligence (AI) that allows the software to improve its accuracy at predicting outcomes without being explicitly programmed to do so.
Published in Chapter: A Machine Learning Approach to Classify the Telecommunication Customers Based on Their Profitability; From: Social Customer Relationship Management (Social-CRM) in the Era of Web 4.0
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
Educational Software Based on Matlab GUIs for Neural Networks Courses
A subfield of computer science and artificial intelligence which aims to develop techniques that allow machines to solve problems automatically. This learning is done by generalizing problems based on training data.
Published in Chapter: Educational Software Based on Matlab GUIs for Neural Networks Courses; From: Handbook of Research on Computational Simulation and Modeling in Engineering
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 4
Opportunities and Challenges of Big Data in Healthcare
The subfield of artificial intelligence that uses learning algorithms in handling problems.
Published in Chapter: Opportunities and Challenges of Big Data in Healthcare; From: Handbook of Research on Healthcare Administration and Management
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 1
What Is Open Source Software (OSS) and What Is Big Data?
A process that gives machine the ability to learn without being explicitly programmed.
Published in Chapter: What Is Open Source Software (OSS) and What Is Big Data?; From: Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Android-Based Skin Cancer Recognition System Using Convolutional Neural Network
It is the modeling of systems that make predictions by using mathematical and statistical processes on data.
Published in Chapter: Android-Based Skin Cancer Recognition System Using Convolutional Neural Network; From: Diagnostic Applications of Health Intelligence and Surveillance Systems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Smart Diagnostics of COVID-19 With Data-Driven Approaches
A subject of artificial intelligence that aims at the task of computational algorithms, which allow machines to learning objects automatically through historical data.
Published in Chapter: Smart Diagnostics of COVID-19 With Data-Driven Approaches; From: Applied Big Data Analytics and Its Role in COVID-19 Research
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 7
Beyond Pandemic: Accelerating Artificial Intelligence and Financial Analytics
The use of computer systems that can learn and adapt without following instructions via algorithms and statistical models to analyze the patterns that occur in the data.
Published in Chapter: Beyond Pandemic: Accelerating Artificial Intelligence and Financial Analytics; From: Economic Impact and Recovery Following a Global Health Crisis
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 392
Machine Learning
The programming of computers to optimize a performance criterion using example data or past experience.
Published in Chapter: Machine Learning; From: Encyclopedia of Information Science and Technology, Second Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 2
What the 3Vs Acronym Didn't Put Into Perspective?
A method of designing a sequence of actions to solve a problem that optimizes automatically through experience and with limited or no human intervention.
Published in Chapter: What the 3Vs Acronym Didn't Put Into Perspective?; From: Big Data Analytics for Entrepreneurial Success
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 5
Artificial Intelligence and Marketing: Progressive or Disruptive Transformation? Review of the Literature
Machine learning is a subfield of artificial intelligence that focuses on the development of algorithms and statistical models that allow computers to learn from and make predictions or decisions based on data, without being explicitly programmed. In machine learning, an algorithm is trained on a large dataset and uses that data to make predictions or decisions based on new, unseen data. The goal of machine learning is to build models that can automatically improve their accuracy over time, by continuously learning from the data they process.
Published in Chapter: Artificial Intelligence and Marketing: Progressive or Disruptive Transformation? Review of the Literature; From: Confronting Security and Privacy Challenges in Digital Marketing
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 157
Analysis of Large-Scale OMIC Data Using Self Organizing Maps
Branch of artificial intelligence addressing algorithms which derive knowledge in terms of patterns from empirical ‘input’ data. Those patterns can be utilized to characterize and make predictions on previously unknown data.
Published in Chapter: Analysis of Large-Scale OMIC Data Using Self Organizing Maps; From: Encyclopedia of Information Science and Technology, Third Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
Animal Activity Recognition From Sensor Data Using Ensemble Learning
The application of intelligent algorithms that teach computers to create analytical models.
Published in Chapter: Animal Activity Recognition From Sensor Data Using Ensemble Learning; From: Emerging Trends in IoT and Integration with Data Science, Cloud Computing, and Big Data Analytics
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 14
Intelligent Big Data Analytics in Health
Basically refers to the techniques for extracting useful information from hidden patterns. It can be defined a system consist of many methods that learn and improve from data.
Published in Chapter: Intelligent Big Data Analytics in Health; From: Early Detection of Neurological Disorders Using Machine Learning Systems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 2
Total Variation Applications in Computer Vision
It is concerned with the study of pattern recognition as well as computational learning in artificial intelligence, exploring the structure and studying algorithms that can infer knowledge from and formulate predictions about data. Such algorithms work by building a model from known inputs so as to craft data-driven predictions or decisions, instead of pursuing a predetermined program.
Published in Chapter: Total Variation Applications in Computer Vision; From: Handbook of Research on Emerging Perspectives in Intelligent Pattern Recognition, Analysis, and Image Processing
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
A Systematic Bibliometric Literature Review on Data Science in Marketing
Is a field of inquiry devoted to understanding and building methods that 'learn', that is, methods that leverage data to improve performance on some set of tasks.
Published in Chapter: A Systematic Bibliometric Literature Review on Data Science in Marketing; From: Enhancing Business Communications and Collaboration Through Data Science Applications
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 6
Intelligent Management and Efficient Operation of Big Data
It is a type of Artificial Intelligence (AI) that provides computers with the ability to learn without being explicitly programmed. Machine learning explores the construction and study of algorithms that can learn from and make predictions on data.
Published in Chapter: Intelligent Management and Efficient Operation of Big Data; From: Handbook of Research on Trends and Future Directions in Big Data and Web Intelligence
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 157
In-Memory Analytics
The science of developing techniques to give the computer inference and deduction capabilities to achieve diverse processing tasks autonomously.
Published in Chapter: In-Memory Analytics; From: Encyclopedia of Information Science and Technology, Fourth Edition
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 18
Using Graph Neural Network to Enhance Quality of Service Prediction
Is a branch of artificial intelligence and computer science that focuses on using data and algorithms to imitate how humans learn and improve their accuracy ( Janiesch et al., 2021 ).
Published in Chapter: Using Graph Neural Network to Enhance Quality of Service Prediction; From: Handbook of Research on AI Methods and Applications in Computer Engineering
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
Epileptic Seizure Detection Using Machine Learning Techniques
An area of techniques and algorithms that learn from data and perform a particular task.
Published in Chapter: Epileptic Seizure Detection Using Machine Learning Techniques; From: Diagnostic Applications of Health Intelligence and Surveillance Systems
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 11
Insulin DNA Sequence Classification Using Levy Flight Bat With Back Propagation Algorithm
Machine learning is the sub field of Artificial intelligence which is a huge and multipurpose field in the modern technological world. Machine learning is related with the development and design of the computational system that can adopt themselves and learn. In machine learning the computational system learns on the basis of the training data.
Published in Chapter: Insulin DNA Sequence Classification Using Levy Flight Bat With Back Propagation Algorithm; From: Mobile Devices and Smart Gadgets in Medical Sciences
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 46
Using Custom-Built, Small-Scale Educational Solutions to Teach Qualitative Research Literacy: No Code, Code, and Complex Applications
Computer algorithms which improve through the use of data, without following explicit instructions. Part of artificial intelligence.
Published in Chapter: Using Custom-Built, Small-Scale Educational Solutions to Teach Qualitative Research Literacy: No Code, Code, and Complex Applications; From: Handbook of Research on Acquiring 21st Century Literacy Skills Through Game-Based Learning
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 3
Writing Machine for Blind People
Machine learning is a next level of artificial intelligence that gives systems capability to learn without human intervention and improve from practice without any human programming. It targets on the program development, it can be able data access and data learning for themselves.
Published in Chapter: Writing Machine for Blind People; From: Assistive Technologies for Differently Abled Students
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 9
Exploring Public Perceptions of COVID-19 Vaccine Adverse Effects Through Social Media Analysis
With the help of ML, which uses learning and ever expanding the experience to understand issue complexity and the requirement for adaptation, computers can accomplish difficult tasks without human interaction ( Zhang, 2020 ). ML models can be categorised into ten categories based on how an algorithm is trained and the availability of the result during training. These include reinforcement, evolutionary, ensemble, artificial neural networks, instance-based, semi-supervised, unsupervised, supervised, and hybrid learning ( Alzubi et al., 2018 ).
Published in Chapter: Exploring Public Perceptions of COVID-19 Vaccine Adverse Effects Through Social Media Analysis; From: Handbook of Research on Advancements of Contactless Technology and Service Innovation in Library and Information Science
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 8
Usage of Auxiliary Systems and Artificial Intelligence in Home-Based Rehabilitation: A Review
The application and development of computer systems that can learn and adapt themselves by analyzing and drawing inferences from data patterns, utilizing algorithms and statistical models, without explicit human instructions.
Published in Chapter: Usage of Auxiliary Systems and Artificial Intelligence in Home-Based Rehabilitation: A Review; From: Exploring the Convergence of Computer and Medical Science Through Cloud Healthcare
Full Text Chapter Download: US $37.50 Add to Cart
Chapter 20
Library Engagement With Emerging Technologies in Research and Learning