Machine Learning - Stanford - Coursera
1.0.0
1.0.0
  • Acknowledgements
  • Introduction
  • Linear Algebra Review
  • Types of Machine Learning
  • Supervised Learning
    • Linear Regression
      • Linear Regression in One Variable
        • Cost Function
        • Gradient Descent
      • Multivariate Linear Regression
        • Cost Function
        • Gradient Descent
        • Feature Scaling
        • Mean Normalization
        • Choosing the Learning Rate α
    • Polynomial Regression
      • Normal Equation
      • Gradient Descent vs. Normal Equation
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Introduction

Machine Learning is a field of study that gives computers the ability to learn without being explicitly programmed.

This book contains a brief overview of various concepts in Machine Learning and intends to serve as quick reference material rather than to provide a comprehensive understanding of the field.

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Last updated 5 years ago

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