Machine learning

Below is the list of contents related to machine learning. They are very useful for the “Data Science and Machine Learning for Geoscientists” module, can be applied for some MSci and UROP projects.

Table of contents:

1. Chapter 0 – Introduction

2. Chapter 1 – Neural Network

3. Chapter 2 – Maximum Likelihood

4. Chapter 3 – Cross Entropy

5. Chapter 4 – Cost Function

6. Chapter 5 – Gradient Descent 1

7. Chapter 6 – Gradient Descent 2

8. Chapter 7 – Real (Non-linear) Neural Network

9. Chapter 8 – Feedforward

10. Chapter 9 – Back Propagation

11. Chapter 10 – General Back Propagation

12. Chapter 11 – Underfitting and Overfitting

13. Chapter 12 – Early-stopping, Dropout & Mini-batch

14. Chapter 13 – Vanishing Gradient 1

15. Chapter 14 – Vanishing Gradient 2

16. Chapter 15 – Regularisation

17. Chapter 16 – Other Activation Functions

18. Chapter 17 – Local Minima Trap

19. Chapter 18 – Softmax

20. Chapter 19 – Hyper-Parameters

21. Chapter 20 – Coding Example