Heart of AI A Theoretical Odyssey on Machine Learning
Language: English | Size:1.51 GB
Genre:eLearning
Files Included :
1 - Course Structure.mp4 (30.07 MB)
MP4
10 - QR Decomposition and GramSchmid Process.mp4 (47.72 MB)
MP4
2 - Vectors and Matrices Scalar Vector Matrix Tensor.mp4 (23.7 MB)
MP4
3 - Vector Operations.mp4 (30.53 MB)
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4 - Matrix Operations.mp4 (45.48 MB)
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5 - Norms in ML.mp4 (59.09 MB)
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6 - Linear Map And Linear Transformation.mp4 (57.49 MB)
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7 - Eigenvalues and Eigenvectors.mp4 (36.44 MB)
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8 - Principal Component Analysis.mp4 (31.96 MB)
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9 - LU Decomposition.mp4 (52.71 MB)
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11 - Basics of Calculus Derivatives and Partial Derivatives.mp4 (40.46 MB)
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12 - Gradients and Directional Derivatives.mp4 (27.82 MB)
MP4
13 - Integration Double Triple integrals.mp4 (40.55 MB)
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14 - Local And Global MinimaMaxima.mp4 (37.34 MB)
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15 - Gradient Descent And Stochastic Gradient Descent.mp4 (45.13 MB)
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16 - Newtons Method And Conjugate Gradient Descent.mp4 (26.08 MB)
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17 - Regularization Techniques L1 L2 Elastic Net.mp4 (29.03 MB)
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18 - Random Variables and Probability Distributions.mp4 (37.03 MB)
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19 - Joint Marginal and Conditional Distribution.mp4 (39.73 MB)
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20 - Hypothesis Testing.mp4 (32.48 MB)
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21 - Confidence Intervals.mp4 (27.24 MB)
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22 - Maximum Likelihood Estimation MLE and Bayesian Estimation.mp4 (36.5 MB)
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23 - Naive Bayes Classifier.mp4 (26.27 MB)
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24 - Gaussian Mixture Models GMMs.mp4 (23.29 MB)
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25 - Hidden Markov Models HMMs.mp4 (23.22 MB)
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26 - Jacobian Matrices.mp4 (25.39 MB)
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27 - Chain Rule and HighOrder Derivatives.mp4 (24.34 MB)
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28 - Hessian Matrix and secondorder Conditions.mp4 (25.38 MB)
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29 - Backpropagation in Neural Network.mp4 (32.33 MB)
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30 - Vanishing And Exploding Gradients.mp4 (45.2 MB)
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31 - Optimizers Adam RMSProp SGD.mp4 (16.81 MB)
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32 - Least Square Estimation.mp4 (34.93 MB)
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33 - Normal Equations and Matrix Formulations.mp4 (22.69 MB)
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34 - Polynomial Regression.mp4 (23.8 MB)
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35 - Shannon Entropy.mp4 (19.08 MB)
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36 - CrossEntropy Loss.mp4 (25.03 MB)
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37 - Kullback Leibler Divergence.mp4 (22.68 MB)
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38 - FeedForward Neural Networks FNNs.mp4 (27.3 MB)
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39 - Convolutional Neural Networks CNNs.mp4 (25.15 MB)
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40 - Recurrent Neural Network RNN.mp4 (27.65 MB)
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41 - Graph Theory And NN.mp4 (30.75 MB)
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42 - Autoencoders and Variational Autoencoders.mp4 (31.06 MB)
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43 - Generative Adversarial Networks GANs.mp4 (24.13 MB)
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44 - Image Classification and Object Detection.mp4 (38.73 MB)
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45 - Natural Language Processing NLP.mp4 (37.29 MB)
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46 - Reinforcement Learning.mp4 (25.62 MB)
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47 - Quantum Machine Learning.mp4 (26.54 MB)
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48 - Resources and Further Learning.mp4 (31.88 MB)
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MP4
10 - QR Decomposition and GramSchmid Process.mp4 (47.72 MB)
MP4
2 - Vectors and Matrices Scalar Vector Matrix Tensor.mp4 (23.7 MB)
MP4
3 - Vector Operations.mp4 (30.53 MB)
MP4
4 - Matrix Operations.mp4 (45.48 MB)
MP4
5 - Norms in ML.mp4 (59.09 MB)
MP4
6 - Linear Map And Linear Transformation.mp4 (57.49 MB)
MP4
7 - Eigenvalues and Eigenvectors.mp4 (36.44 MB)
MP4
8 - Principal Component Analysis.mp4 (31.96 MB)
MP4
9 - LU Decomposition.mp4 (52.71 MB)
MP4
11 - Basics of Calculus Derivatives and Partial Derivatives.mp4 (40.46 MB)
MP4
12 - Gradients and Directional Derivatives.mp4 (27.82 MB)
MP4
13 - Integration Double Triple integrals.mp4 (40.55 MB)
MP4
14 - Local And Global MinimaMaxima.mp4 (37.34 MB)
MP4
15 - Gradient Descent And Stochastic Gradient Descent.mp4 (45.13 MB)
MP4
16 - Newtons Method And Conjugate Gradient Descent.mp4 (26.08 MB)
MP4
17 - Regularization Techniques L1 L2 Elastic Net.mp4 (29.03 MB)
MP4
18 - Random Variables and Probability Distributions.mp4 (37.03 MB)
MP4
19 - Joint Marginal and Conditional Distribution.mp4 (39.73 MB)
MP4
20 - Hypothesis Testing.mp4 (32.48 MB)
MP4
21 - Confidence Intervals.mp4 (27.24 MB)
MP4
22 - Maximum Likelihood Estimation MLE and Bayesian Estimation.mp4 (36.5 MB)
MP4
23 - Naive Bayes Classifier.mp4 (26.27 MB)
MP4
24 - Gaussian Mixture Models GMMs.mp4 (23.29 MB)
MP4
25 - Hidden Markov Models HMMs.mp4 (23.22 MB)
MP4
26 - Jacobian Matrices.mp4 (25.39 MB)
MP4
27 - Chain Rule and HighOrder Derivatives.mp4 (24.34 MB)
MP4
28 - Hessian Matrix and secondorder Conditions.mp4 (25.38 MB)
MP4
29 - Backpropagation in Neural Network.mp4 (32.33 MB)
MP4
30 - Vanishing And Exploding Gradients.mp4 (45.2 MB)
MP4
31 - Optimizers Adam RMSProp SGD.mp4 (16.81 MB)
MP4
32 - Least Square Estimation.mp4 (34.93 MB)
MP4
33 - Normal Equations and Matrix Formulations.mp4 (22.69 MB)
MP4
34 - Polynomial Regression.mp4 (23.8 MB)
MP4
35 - Shannon Entropy.mp4 (19.08 MB)
MP4
36 - CrossEntropy Loss.mp4 (25.03 MB)
MP4
37 - Kullback Leibler Divergence.mp4 (22.68 MB)
MP4
38 - FeedForward Neural Networks FNNs.mp4 (27.3 MB)
MP4
39 - Convolutional Neural Networks CNNs.mp4 (25.15 MB)
MP4
40 - Recurrent Neural Network RNN.mp4 (27.65 MB)
MP4
41 - Graph Theory And NN.mp4 (30.75 MB)
MP4
42 - Autoencoders and Variational Autoencoders.mp4 (31.06 MB)
MP4
43 - Generative Adversarial Networks GANs.mp4 (24.13 MB)
MP4
44 - Image Classification and Object Detection.mp4 (38.73 MB)
MP4
45 - Natural Language Processing NLP.mp4 (37.29 MB)
MP4
46 - Reinforcement Learning.mp4 (25.62 MB)
MP4
47 - Quantum Machine Learning.mp4 (26.54 MB)
MP4
48 - Resources and Further Learning.mp4 (31.88 MB)
MP4
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