Machine Learning Week1 Introduction

Introduction

What is machine learning?

  • Two definitions:
    • Arthur Samuel(1959)
      • "The field of study that gives computers the ability to learn without being explicitly programmed."
      • This is an older, informal definition.
    • Tom Mitchell(1999)
      • "A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E."

        The checkers example.
        • E = the experience of playing many games of checkers
        • T = the task of playing checkers.
        • P = the probability that the program will win the next game.
  • Several types of learning algorithms
    • Supervised learning
    • Unsupervised learning
    • Reinforcement learning
    • Recommender systems
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