Introduction to Machine Learning

Unknown authors

2022Advances in computational intelligence and robotics book series20 citationsDOI

Abstract

A machine learning system works by using data to identify patterns, make decisions, and learn from them. Machine learning is based on the idea that systems can learn from data. In the traditional problem-solving approach, data is paired with a human-created program to generate answers to a problem. In machine learning, the data and answers are used to unravel the rules that create a problem. During a learning process, machines experiment with different rules and learn what works and does not work, hence the name machine learning. This chapter explores the history of machine learning, various machine learning techniques, and their comparisons.

Topics & Concepts

Machine learningArtificial intelligenceComputer scienceOnline machine learningComputational learning theoryInstance-based learningAlgorithmic learning theoryProcess (computing)Active learning (machine learning)Inductive transferMulti-task learningRobot learningEngineeringTask (project management)Operating systemRobotMobile robotSystems engineeringMachine Learning and Data ClassificationArtificial Intelligence in HealthcareAnomaly Detection Techniques and Applications