Machine Learning
Machine Learning
1. Data & Distributions
1.1. Probability
1.2. Distributions
1.3. Data in ML
2. Making Decisions
2.1. Conditional Probability
2.2. Estimation
2.3. Optimization
3. Linear Regression
3.1. Assumptions
3.2. One Dimension
3.3. Multiple Dimensions
3.4. Applying Regression
3.5. Regression Variants
4. Discriminative Classification
4.1. Logistic Regression
4.2. Applying Logistic
4.3. Logistic Variants
Index