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Download /[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3/04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.vtt

UdemyCourseDownloader Complete Data Science Machine Learning Bootcamp Python

04 Introduction to Optimisation and the Gradient Descent Algorithm 12 Understanding Partial Derivatives and How to use SymPy vtt

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[UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

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Total Size

15.2 GB

Total Files

377

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D432C60E9D1DC749517171C7D3D3392D0E7E754F

/04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.vtt

17.8 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/12. Understanding Partial Derivatives and How to use SymPy.mp4

139.3 MB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.vtt

32.1 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.vtt

11.5 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4

248.1 MB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/13. Implementing Batch Gradient Descent with SymPy.mp4

91.0 MB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.vtt

15.6 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.vtt

15.1 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/15. Reshaping and Slicing N-Dimensional Arrays.vtt

19.9 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/5. Understanding the Power Rule & Creating Charts with Subplots.mp4

94.5 MB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/18. Transposing and Reshaping Arrays.vtt

12.1 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/22. Running Gradient Descent with a MSE Cost Function.vtt

20.1 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/23. Visualising the Optimisation on a 3D Surface.vtt

9.4 KB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/4. LaTeX Markdown and Generating Data with Numpy.mp4

94.9 MB

/04. Introduction to Optimisation and the Gradient Descent Algorithm/17. Introduction to the Mean Squared Error (MSE).vtt

11.1 KB

 

Showing first 15 files of 377 total files


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