Math 01 Matrix Calculus in Data Science Machine Learning

Files Included :

1 - Introduction and Outline.mp4 (98.2 MB)
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2 - How to succeed in this course.mp4 (41.48 MB)
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3 - Where to get the code.mp4 (15.01 MB)
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10 - Exercise Gaussian.mp4 (334.34 MB)
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11 - Chain Rule.mp4 (156.08 MB)
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12 - Chain Rule in Matrix Form.mp4 (158.34 MB)
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13 - Chain Rule Generalized.mp4 (227.1 MB)
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14 - Exercise Quadratic with Constraints.mp4 (103.29 MB)
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15 - Left and Right Inverse as Optimization Problems.mp4 (224.75 MB)
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16 - Derivative of Determinant.mp4 (96.66 MB)
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17 - Derivatives Section Summary.mp4 (2.94 MB)
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18 - Suggestion Box.mp4 (39.85 MB)
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4 - Derivatives Section Introduction.mp4 (7.45 MB)
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5 - Linear Form.mp4 (82.32 MB)
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6 - Quadratic Form pt 1.mp4 (182.7 MB)
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7 - Quadratic Form pt 2.mp4 (33.95 MB)
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8 - Exercise Quadratic.mp4 (24.78 MB)
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9 - Exercise Least Squares.mp4 (111.48 MB)
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19 - Optimization Section Introduction.mp4 (4.92 MB)
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20 - Second Derivative Test in Multiple Dimensions.mp4 (118.6 MB)
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21 - Gradient Descent One Dimension.mp4 (342.65 MB)
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22 - Gradient Descent Multiple Dimensions.mp4 (78.58 MB)
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23 - Newtons Method One Dimension.mp4 (145.59 MB)
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24 - Newtons Method Multiple Dimensions.mp4 (231.04 MB)
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25 - Exercise Newtons Method for Least Squares.mp4 (116.9 MB)
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26 - Exercise Code Preparation.mp4 (260.3 MB)
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27 - Gradient Descent and Newtons Method in Python.mp4 (145.27 MB)
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28 - Optimization Section Summary.mp4 (4.84 MB)
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29 - BONUS.mp4 (61.05 MB)
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