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Introduction & Overview

About the Author
Preface

Traditional statistics

1. Statistical Learning
2. Regression
3. Classification
4. Sampling
5. Model Selection
6. Dimension Reduction
7. Non-linear Regression

Deep Learning Basic

8. torch Installation
9. Keras installation
10. Tensor
11. Gradient Descent (GD)
12. Autograd

Computer Vision

13. Convolution Neural Network

Natural Language Processing

14. Natural Language Processing

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By Yalin Yang

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