Machine Learning

Introduction

Machine Learning is a collection of data-oriented software techniques in the field of Artificial Intelligence for optimizing the performance of intelligent systems.

Supervised Learning

• Linear Regression
• Logistic Regression
• Support Vector Machines
  • kernel trick
• Maximum Likelihood Estimation

Unsupervised Learning

• k Nearest Neighbors
• Reinforcement Learning

Decision Theory

Deals with the question of which actions to choose based on the level of confidence of our prediction.

External Resources

• Online Course Machine Learning, Andrew Ng, Coursera
  • Lecture notes for related Stanford course CS229
• Online Course Intro To Machine Learning, Sebastian Thrun, Udacity
• Book Pattern Recognition and Machine Learning, Bishop
• Book Neural Networks and Learning Machines, Haykin
• Book Statistical Learning Theory, Vapnik