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1.1 Course Resources.html 2024-07-11 10:21 122
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1. What's Coming Up.mp4 2024-07-11 10:21 21M
1. What's Coming Up.srt 2024-07-11 10:21 3.8K
2. How a Machine Learns.mp4 2024-07-11 10:21 23M
2. How a Machine Learns.srt 2024-07-11 10:21 7.2K
3. Introduction to Cost Functions.mp4 2024-07-11 10:21 66M
3. Introduction to Cost Functions.srt 2024-07-11 10:21 9.5K
4. LaTeX Markdown and Generating Data with Numpy.mp4 2024-07-11 10:21 91M
4. LaTeX Markdown and Generating Data with Numpy.srt 2024-07-11 10:21 17K
5. Understanding the Power Rule & Creating Charts with Subplots.mp4 2024-07-11 10:21 90M
5. Understanding the Power Rule & Creating Charts with Subplots.srt 2024-07-11 10:21 18K
6. [Python] - Loops and the Gradient Descent Algorithm.mp4 2024-07-11 10:21 287M
6. [Python] - Loops and the Gradient Descent Algorithm.srt 2024-07-11 10:21 44K
7. Python Loops Coding Exercise.html 2024-07-11 10:21 156
8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 2024-07-11 10:21 291M
8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).srt 2024-07-11 10:21 43K
9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 2024-07-11 10:21 219M
9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).srt 2024-07-11 10:21 34K
10. Understanding the Learning Rate.mp4 2024-07-11 10:21 237M
10. Understanding the Learning Rate.srt 2024-07-11 10:21 38K
11. How to Create 3-Dimensional Charts.mp4 2024-07-11 10:21 193M
11. How to Create 3-Dimensional Charts.srt 2024-07-11 10:21 26K
12. Understanding Partial Derivatives and How to use SymPy.mp4 2024-07-11 10:21 133M
12. Understanding Partial Derivatives and How to use SymPy.srt 2024-07-11 10:21 20K
13. Implementing Batch Gradient Descent with SymPy.mp4 2024-07-11 10:21 87M
13. Implementing Batch Gradient Descent with SymPy.srt 2024-07-11 10:21 13K
14. [Python] - Loops and Performance Considerations.mp4 2024-07-11 10:21 131M
14. [Python] - Loops and Performance Considerations.srt 2024-07-11 10:21 18K
15. Reshaping and Slicing N-Dimensional Arrays.mp4 2024-07-11 10:21 141M
15. Reshaping and Slicing N-Dimensional Arrays.srt 2024-07-11 10:21 23K
16. Concatenating Numpy Arrays.mp4 2024-07-11 10:21 71M
16. Concatenating Numpy Arrays.srt 2024-07-11 10:21 8.9K
17. Introduction to the Mean Squared Error (MSE).mp4 2024-07-11 10:21 65M
17. Introduction to the Mean Squared Error (MSE).srt 2024-07-11 10:21 13K
18. Transposing and Reshaping Arrays.mp4 2024-07-11 10:21 87M
18. Transposing and Reshaping Arrays.srt 2024-07-11 10:21 14K
19. Implementing a MSE Cost Function.mp4 2024-07-11 10:21 81M
19. Implementing a MSE Cost Function.srt 2024-07-11 10:21 14K
20. Understanding Nested Loops and Plotting the MSE Function (Part 1).mp4 2024-07-11 10:21 73M
20. Understanding Nested Loops and Plotting the MSE Function (Part 1).srt 2024-07-11 10:21 14K
21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).mp4 2024-07-11 10:21 125M
21. Plotting the Mean Squared Error (MSE) on a Surface (Part 2).srt 2024-07-11 10:21 17K
22. Running Gradient Descent with a MSE Cost Function.mp4 2024-07-11 10:21 111M
22. Running Gradient Descent with a MSE Cost Function.srt 2024-07-11 10:21 22K
23. Visualising the Optimisation on a 3D Surface.mp4 2024-07-11 10:21 75M
23. Visualising the Optimisation on a 3D Surface.srt 2024-07-11 10:21 11K
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24.1 03 Gradient Descent.ipynb.zip 2024-07-11 10:21 1.1M
24. Download the Complete Notebook Here.html 2024-07-11 10:21 242
25. Any Feedback on this Section.html 2024-07-11 10:21 520