Coursera - Calculus for Machine Learning and Data Science

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Download Free Download : Coursera - Calculus for Machine Learning and Data Science
mp4 | Video: h264,1280X720 | Audio: AAC, 44.1 KHz
Genre:eLearning | Language: English | Size:459.18 MB
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Files Included :

Spoiler

01 course-introduction.mp4 (25.33 MB)
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02 a-note-on-programming-experience.mp4 (1.94 MB)
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05 machine-learning-motivation.mp4 (18.42 MB)
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06 motivation-to-derivatives-part-i.mp4 (13.46 MB)
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07 derivatives-and-tangents.mp4 (2.66 MB)
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08 slopes-maxima-and-minima.mp4 (4.2 MB)
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10 derivatives-and-their-notation.mp4 (4.54 MB)
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11 some-common-derivatives-lines.mp4 (6.1 MB)
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12 some-common-derivatives-quadratics.mp4 (5.4 MB)
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13 some-common-derivatives-higher-degree-polynomials.mp4 (4.65 MB)
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14 some-common-derivatives-other-power-functions.mp4 (5.75 MB)
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15 the-inverse-function-and-its-derivative.mp4 (13.66 MB)
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16 derivative-of-trigonometric-functions.mp4 (6.3 MB)
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17 meaning-of-the-exponential-e.mp4 (13.35 MB)
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18 the-derivative-of-e-x.mp4 (3.33 MB)
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19 the-derivative-of-log-x.mp4 (7.4 MB)
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20 existence-of-the-derivative.mp4 (9.23 MB)
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21 properties-of-the-derivative-multiplication-by-scalars.mp4 (6.58 MB)
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22 properties-of-the-derivative-the-sum-rule.mp4 (4.38 MB)
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23 properties-of-the-derivative-the-product-rule.mp4 (4.93 MB)
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24 properties-of-the-derivative-the-chain-rule.mp4 (6.54 MB)
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01 introduction-to-optimization.mp4 (10.05 MB)
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02 optimization-of-squared-loss-the-one-powerline-problem.mp4 (5.24 MB)
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03 optimization-of-squared-loss-the-two-powerline-problem.mp4 (6.07 MB)
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04 optimization-of-squared-loss-the-three-powerline-problem.mp4 (6.46 MB)
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05 optimization-of-log-loss-part-1.mp4 (12.57 MB)
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06 optimization-of-log-loss-part-2.mp4 (3.73 MB)
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01 week-1-conclusion.mp4 (3.52 MB)
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01 introduction-to-tangent-planes.mp4 (11.54 MB)
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02 partial-derivatives-part-1.mp4 (6.6 MB)
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03 partial-derivatives-part-2.mp4 (3.3 MB)
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04 gradients.mp4 (3.93 MB)
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05 gradients-and-maxima-minima.mp4 (4.86 MB)
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06 optimization-with-gradients-an-example.mp4 (11.05 MB)
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07 optimization-using-gradients-analytical-method.mp4 (12.32 MB)
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01 optimization-using-gradient-descent-in-one-variable-part-1.mp4 (6.9 MB)
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02 optimization-using-gradient-descent-in-one-variable-part-2.mp4 (7.12 MB)
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03 optimization-using-gradient-descent-in-one-variable-part-3.mp4 (2.49 MB)
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04 optimization-using-gradient-descent-in-two-variables-part-1.mp4 (2.78 MB)
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05 optimization-using-gradient-descent-in-two-variables-part-2.mp4 (7.62 MB)
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06 optimization-using-gradient-descent-least-squares.mp4 (4.08 MB)
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07 optimization-using-gradient-descent-least-squares-with-multiple-observations.mp4 (7.15 MB)
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01 week-2-conclusion.mp4 (2.5 MB)
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01 regression-with-a-perceptron.mp4 (9.48 MB)
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02 regression-with-a-perceptron-loss-function.mp4 (4.5 MB)
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03 regression-with-a-perceptron-gradient-descent.mp4 (8.86 MB)
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04 classification-with-perceptron.mp4 (9.22 MB)
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05 classification-with-perceptron-the-sigmoid-function.mp4 (5.49 MB)
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06 classification-with-perceptron-gradient-descent.mp4 (6.6 MB)
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07 classification-with-perceptron-calculating-the-derivatives.mp4 (10.86 MB)
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08 classification-with-a-neural-network.mp4 (10.82 MB)
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09 classification-with-a-neural-network-minimizing-log-loss.mp4 (12.28 MB)
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10 gradient-descent-and-backpropagation.mp4 (10.21 MB)
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01 newtons-method.mp4 (8.62 MB)
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02 newtons-method-an-example.mp4 (4.9 MB)
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03 the-second-derivative.mp4 (15.57 MB)
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04 the-hessian.mp4 (10.27 MB)
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05 hessians-and-concavity.mp4 (9.39 MB)
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06 newtons-method-for-two-variables.mp4 (7.54 MB)
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01 week-3-conclusion.mp4 (4.59 MB)
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