Introduction

• Machine learning is a subfield of Artificial Intelligence.
• Typical question : Given a scatter plot, what would be the color of a new point? Machine learning also define a decision surface, generalize to new never seen data points
• Bias-Variance dilemma:
  • A high bias machine learning algorithm ignores the data
  • A high variance machine learning algorithm can only reproduce data seen before
• Variables Types : Categorical, numerical, text, time series

1. Dataset/Question

2. Features

3. Algorithms

   • Classic (Shallow) Machine learning

   • Deep (hierarchical) Machine Learing

4. Evaluation

5. Model Improvement

• https://classroom.udacity.com/courses/ud120/