What is Machine Learning

What is Machine Learning Introduction Well-Posed Learning Problems Designing a Learning System Steps for Designing Learning System Are Perspectives and Issues in Machine Learning Concept Learning and the General to Specific Ordering Concept Learning Task Concept Learning as a Search Important Representation Inductive Bias

Decision Tree Learning Types of Decision Tree Strengths and Weakness of Decision Tree Approach Appropriate Problems in Decision Tree Learning Issues in Decision Tree Learning What is Hypothesis Types of Hypothesis ID3 Information Gain for Each Feature

Artificial Neural Networks I Biological Motivation Neural Network Representations Appropriate Problems for Neural Network Learning Perceptron Genetic Algorithms Application Areas What is Reinforcement Learning Terms Used in Reinforcement Learning Approaches to Implement Reinforcement Learning Temporal Difference Learning EM Algorithm GIBS Algorithm

What is Machine Learning

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What Is Machine Learning?

Arthur Samuel, an American pioneer in the fields of computer gaming and artificial intelligence, invented the phrase Machine Learning in 1959, stating that "it offers computers the ability to learn without being explicitly programmed."

"A computer programme is said to learn from experience E with respect to some task T and some performance measure P, if its performance on T, as measured by P, increases with experience E," Tom Mitchell wrote in 1997.

Machine learning is a subset of AI, which became very popular in 90’s. Artificial Intelligence(AI) deals with building computing machines which imitate human behavior and intelligence to solve complex problems. The goal here is to increase the success in finishing the tasks. Rather than describing the field in cognitive terms, the tasks in which machine learning(ML) is concerned offer an essentially operational description. ML aims to increase the accuracy of it's learning algorithm rather than bothering about the success.

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What is Machine Learning

MACHINE LEARNING

DECISION TREE LEARNING

ARTIFICIAL NEURAL NETWORKS-I

What is Machine Learning