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What is Machine Learning (ML)

Handbook of Research on Teaching With Virtual Environments and AI
Is specifically involved with the training of Neural Networ and evaluation of accuracy of predictions.
Published in Chapter:
How Can Education Use Artificial Intelligence?: A Brief History of AI, Its Usages, Its Successes, and Its Problems When Applied to Education.
Claudio Pacchiega (Edu3d, Italy)
Copyright: © 2021 |Pages: 33
DOI: 10.4018/978-1-7998-7638-0.ch024
Abstract
AI, artificial intelligence, has recently made a big leap, especially in the field of ANI (artificial narrowed intelligence), meaning that now we are starting to have decent tools that can be useful in teaching. After the surge in importance of the distant learning techniques due to the COVID-19 pandemic in 2020, many educators have found themselves lost in dealing with an overwhelming excess of electronic information from their students, either via chat, email, documents, videos, or multimedia material. This chapter tries to delve into the difficulties of using affordable techniques for generating valid synthetic information such as rating homework or understanding if students are correctly following distant lessons. Since this is still an early subject, much more study and tests must be done to understand the full usability of automated AI tools in this (educational) context.
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Deep Learning in Instructional Analysis, Design, Development, Implementation, and Evaluation (ADDIE)
The machine learning (e.g., ML) is the part of AI, that can learn and improve learning automatically using the data. Some of the real world examples of the ML include virtual personal assistants, video surveillance, malware filtering, etc.
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Non-Technological and Technological (SupTech) Innovations in Strengthening the Financial Supervision
A subset of artificial intelligence aimed at enabling computers to analyze and learn from huge amounts of data with a view to making forecasts.
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The Role of Digital Economies in the Development and Growth in Asian Business Models
ML is a branch of Artificial Intelligence that uses statistical techniques or algorithms to allow a computer to become better at what it does. The computer classifies patterns in behavior or speech, such as, it notes those differences to “learn” more about a specific user or set of users.
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A Platform for the Promotion of Energy Efficiency and Monitoring in Hotel Units
Automated learning concept that uses different methods and models to learn from past experience through the analysis of historical data.
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Decision Support Approach for Assessing of Rail Transport: Methods Based on AI and Machine Learning
Learning is a very broad term that describes the process by which humans or machines can increase their knowledge. Machine learning relies on the application of inductive, deductive, abductive, or analogous techniques. To learn is to reason, to discover analogies and similarities, to generalize or particularize an experience, to take advantage of past failures and errors for subsequent reasoning. New learning is used to solve new problems, accomplish a new task, or increase performance in accomplishing an existing task, explain a situation or predict behaviour. ML facilitates the transfer of knowledge, in particular from experimental examples. It contributes to the development of knowledge bases of Knowledge Base Systems while reducing the intervention of the knowledge engineer (cognitician). In our approach, the learning exploits the historical database (accident or incident scenarios) to generate new knowledge that can help certification experts to assess the degree of safety of a new transport system.
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Instructing AI Ethics and Human Rights
ML an application of AI it gives devices the ability to learn from their experiences and improve their self without doing any coding.
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Artificial Intelligence and Image Analysis for the Identification of Endometrial Malignancies: A Comparative Study
It is a subset of artificial intelligence. The main characteristic of this discipline is related to the study of algorithms (including statistical models) that can be used by computerized systems in order to perform learning and recognition tasks however without using extensive and explicit instructions, instead learning of patterns and inference is used.
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Integrating Content Authentication Support in Media Services
Scientific discipline that investigates algorithms and methods aiming at giving machines the ability to learn from experience (without being explicitly programed), in order to respond autonomously on specific tasks and automate various data-handling processes.
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The Image as Big Data Toolkit: An Application Case Study in Image Analysis, Feature Recognition, and Data Visualization
Machine Learning techniques may be used for a variety of image processing tasks including feature extraction, scene analysis, object detection, hypothesis generation, model building and model instantiation.
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Towards an Automated, Vigilant, and Strategic HRM Function in Industry 5.0
A technology that induces the learning capabilities within the machines through algorithms and computing power for generating predictive capability.
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Achieving Ambient Intelligence in Addressing the COVID-19 Pandemic Using Fog Computing-Driven IoT
It is the study of certain rigorous techniques which escalates the performance by gaining experience and via utilization of several data.
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Systematic Literature Review: XAI and Clinical Decision Support
An application of AI that enables systems to learn and improve from experience without being explicitly programmed. Machine learning focuses on developing computer programs that can access data and use it to learn for themselves.
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Exhibiting App and Analysis for Biofeedback-Based Mental Health Analyzer
Is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed.
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Fairness Challenges in Artificial Intelligence
ML commonly used alongside AI and is a subset of AI. ML refers to systems that can learn from data, i.e., systems that get smarter by learning over time without direct human intervention.
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Machine Learning for Image Classification
A powerful tool for pattern classification. It uses the theory of statistics in building mathematical models, and programs computers to optimize a performance criterion using example data or past experience.
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Data Privacy vs. Data Security
A computer program having the capability to learn and adapt to new data without human assistance.
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Machine Learning Approaches to Automated Medical Decision Support Systems
Subset of Artificial Intelligence field focused on the acquisition and process of data aiming to produce knowledge and reasonable explanations.
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Role of Digital Identity in Advancing Global Health: A 360 Perspective
Type of AI that enables self-learning from data and applies that learning without human intervention by identifying patterns in data, especially diverse and high-dimensional data. In this model, data is usually aggregated from several edge devices in a centralized server and trained.
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Using Online Digital Data to Infer Valuable Skills for the Modern Workforce
A branch of computer science that uses data and specific algorithms to imitate how humans think and learn.
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Towards Fully Automated Decision-Making Systems for Precision Agriculture: Soil Sensing Technologies – “The Missing Link”
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.
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VLE Meets VW
Software algorithms that enable the application of AI techniques as the employ the processing of data to add value and incrementally improve automatically as they learn from the extracted information. The learning process is through the analysis of the masses of data available and identifying patterns while performing decisions based on the algorithm programmed by the AI developer.
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The Impact of News on Public-Private Partnership Stock Price in China via Text Mining Method
ML is a branch of artificial intelligence. ML is a way to realize AI. By using ML, users may solve AI problems. ML theory is mainly about designing and analyzing algorithms that enable computers to “learn” automatically. ML algorithm, as a means, allow users to predict unknown data.
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Recent Developments in Chatbot Usability and Design Methodologies
It is a sub field of artificial intelligence that identifies patterns in human conversations and can be used to create chatbots.
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Chatbot Implementation in a Steel Company in Russia: Towards a Model for Successful Chatbot Projects
A set of activities which leverage modern computer algorithms to process data and solve vast numbers of applicable or scientific tasks.
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Analysis of Ethical Development for Public Policies in the Acquisition of AI-Based Systems
AI subfield and evolving branch of computational algorithms that are designed to emulate human intelligence by learning from the surrounding environment.
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An Intelligent Virtual Medical Assistant for Healthcare Prediction
It is the subset of Artificial Intelligence which helps the system to learn from the dataset without having any specific programs.
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Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture
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 and in the process developing computer programs that can access data and use it to learn for themselves.
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Overview of Multi-Factor Prediction Using Deep Neural Networks, Machine Learning, and Their Open-Source Software
A part of artificial intelligence that is the study of computer algorithms that improve automatically through experience. Machine learning algorithms build a model based on sample data, known as “training data,” in order to make predictions or decisions without being explicitly programmed to do so ( Wikipedia, 2021b ).
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Artificial Intelligence for Sustainable Humanitarian Logistics
A branch of AI that automates data-driven analytical modelling.
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Digital Technology Deployment in Multi-National Enterprises
A type of artificial intelligence that enables self-learning from data and then applies that learning without the need for human intervention.
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A Meta-Analytical Review of Deep Learning Prediction Models for Big Data
Machine learning is a new technology where machine learns from the past data in order to decide and work for future data, thus helps in process of automation.
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Explanations in Artificial Intelligence Decision Making: A User Acceptance Perspective
A set of AI techniques to develop computer systems that learn statistical regularities between inputs and outputs, thereby generating outputs from a set of inputs alone.
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Approval of Artificial Intelligence and Machine Learning Models to Solve Problems in Nonlinear Active Suspension Systems
The machine learning field is a branch of artificial intelligence (AI) that focuses on using data and algorithms to mimic how people learn, gradually increasing the accuracy of its predictions.
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Machine Learning and Text Analysis in an Artificial Intelligent System for the Training of Air Traffic Controllers
Is a class of methods of Artificial Intelligence, whose characteristic feature is not a direct solution to the problem, but learning in the process of applying solutions to many similar tasks.
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The Understanding of Spatial-Temporal Behaviors
A powerful tool for pattern classification. It uses the theory of statistics in building mathematical models, and programs computers to optimize a performance criterion using example data or past experience.
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