1 The Underpinnings

2 Gradient Descent greedy algorithm

3 cost function graph Minima

4 True about Decision trees

5 Support Vector Machines Classification or Regression

6 Support Vector Machines Supervised Unsupervised

7 Support Vector Machines Margin classifier

8 Linearly Separable

9 Two points to classify

10 Outliers

11 classification models minimum error

12 classification models best model to choose

13 Neurons maximum number of outputs

14 More Layers neurons more accuracy

15 one forward pass and backward pass

16 Examples of deep learning

17 Neural Network

18 Hidden layer

19 regression or classification