Math 0-1 - Matrix Calculus in Data Science and Machine Learning

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)]
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