https://img87.pixhost.to/images/599/359020115_tuto.jpg
936.28 MB | 00:20:20 | mp4 | 1280X720  | 16:9
Genre:eLearning |Language:English


Files Included :
001  Introduction and Outline  (13.01 MB)
002  How to succeed in this course  (17.48 MB)
003  Where to get the code  (3.16 MB)
001  Derivatives - Section Introduction  (6.22 MB)
002  Linear Form  (14.07 MB)
003  Quadratic Form (pt 1)  (53.56 MB)
004  Quadratic Form (pt 2)  (11.02 MB)
005  Exercise Quadratic  (8.03 MB)
006  Exercise Least Squares  (21.63 MB)
007  Exercise Gaussian  (64.71 MB)
008  Chain Rule  (23.94 MB)
009  Chain Rule in Matrix Form  (29.39 MB)
010  Chain Rule Generalized  (45.29 MB)
011  Exercise Quadratic with Constraints  (20.24 MB)
012  Left and Right Inverse as Optimization Problems  (38.87 MB)
013  Derivative of Determinant  (23.65 MB)
014  Derivatives - Section Summary  (2.41 MB)
015  Suggestion Box  (11.16 MB)
001  Optimization - Section Introduction  (4.14 MB)
002  Second Derivative Test in Multiple Dimensions  (20.97 MB)
003  Gradient Descent (One Dimension)  (53.59 MB)
004  Gradient Descent (Multiple Dimensions)  (14.7 MB)
005  Newton's Method (One Dimension)  (21.5 MB)
006  Newton's Method (Multiple Dimensions)  (37.29 MB)
007  Exercise Newton's Method for Least Squares  (21.23 MB)
008  Exercise Code Preparation  (40.46 MB)
009  Gradient Descent and Newton's Method in Python  (35.4 MB)
010  Optimization - Section Summary  (3.8 MB)
001  Anaconda Environment Setup  (47.19 MB)
002  How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow  (64.92 MB)
001  Can YouTube Teach Me Calculus (Optional)  (38.83 MB)
002  Is this for Beginners or Experts Academic or Practical Fast or slow-paced  (39.8 MB)
003  What order should I take your courses in (part 1)  (26.63 MB)
004  What order should I take your courses in (part 2)  (34.65 MB)
001  What is the Appendix  (5.77 MB)
002  BONUS  (17.07 MB)]
Screenshot
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Fikper

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FileAxa

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RapidGator

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https://rapidgator.net/file/5c1dfd5bbf10a1ecc25e922c2acf648c/Math.0-1.-.Matrix.Calculus.in.Data.Science.and.Machine.Learning.rar

TurboBit

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https://turbobit.net/gkdg6lhhk1jx/Math.0-1.-.Matrix.Calculus.in.Data.Science.and.Machine.Learning.rar.html
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