It is expected that machine learning model learn from the training data and analyze the patterns. However, if the ML model doesn’t work as expected then underfitting occurs.
Published in Chapter:
Development, Monitoring, and Management Approaches of Machine Learning Implementations for the Effective Delivery of Government Services
Copyright: © 2024
|Pages: 29
DOI: 10.4018/978-1-6684-9716-6.ch008
Abstract
New age technologies like machine learning, artificial intelligence, and deep learning are playing a crucial role in many applications. The chapter focuses on development, monitoring, and management approaches to machine learning implementation for effective government service deliveries. Government forms different policies and aims to successfully pass them to the citizens. The government service deliveries include many sectors like healthcare system, education policies, foreign policies, infrastructure and construction policies, public transportation policies, etc. Machine learning (ML), deep learning (DL), and artificial intelligence (AI) provide many methods like time series analysis, regression, classification, reinforcement learning, clustering, dimensionality reduction, long short-term memory, etc. These methods help retrieving meaningful data from the large volume and predict the desired results. These technologies already revolutionized many sectors like automating the application processes, fetching the relevant and required data instantly, etc.