PORTIONS:

PROBLEMS:

Decision Tree

Naive Bayes

PCA

EM ALGORITHM

BACKPROPAGATION NN

OPTIMIZATION/REGULARIZATION (MAYBE!?)

UNIT 1

• ML
• Types of learning: Supervised learning vs Unsupervised learning:
• Capacity - Overfitting and Underfitting:
• Hyperparameters and Validation Sets
• Bias and Variance
• Classification
• Regression
• Decision tree
• Naïve Bayes
• Linear Regression