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| 01_acknowledgements_instructions.html |
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| 01_acknowledgments_instructions.html |
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| 01_acknowledgments_instructions.html |
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| 01_advanced-optimization.en.srt |
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| 01_advanced-optimization.en.txt |
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| 01_advanced-optimization.mp4 |
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| 01_alternatives-to-the-sigmoid-activation.en.srt |
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| 01_alternatives-to-the-sigmoid-activation.en.txt |
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| 01_alternatives-to-the-sigmoid-activation.mp4 |
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| 01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.srt |
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| 01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.txt |
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| 01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.mp4 |
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| 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt |
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| 01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt |
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| 01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4 |
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| 01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.srt |
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| 01_collaborative-filtering-vs-content-based-filtering.en.srt |
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| 01_collaborative-filtering-vs-content-based-filtering.en.txt |
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| 01_collaborative-filtering-vs-content-based-filtering.mp4 |
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| 01_cost-function-for-logistic-regression.en.srt |
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| 01_cost-function-for-logistic-regression.en.txt |
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| 01_deciding-what-to-try-next.en.srt |
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| 01_decision-tree-model.en.srt |
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| 01_error-metrics-for-skewed-datasets.en.srt |
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| 01_example-of-continuous-state-space-applications.en.srt |
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| 01_feature-scaling-part-1.en.srt |
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| 01_finding-unusual-events.en.srt |
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| 01_forward-prop-in-a-single-layer.en.srt |
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| 01_gradient-descent.en.srt |
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| 01_gradient-descent-implementation.en.srt |
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| 01_linear-regression-model-part-1.en.srt |
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| 03_collaborative-filtering-algorithm.en.srt |
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| 03_cost-function-formula.en.srt |
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| 04_algorithm-refinement-improved-neural-network-architecture.en.txt |
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| 04_algorithm-refinement-improved-neural-network-architecture.mp4 |
7.79MB |
| 04_binary-labels-favs-likes-and-clicks.en.srt |
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| 04_binary-labels-favs-likes-and-clicks.en.txt |
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| 04_binary-labels-favs-likes-and-clicks.mp4 |
19.84MB |
| 04_choosing-the-learning-rate.en.srt |
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| 04_choosing-the-learning-rate.en.txt |
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| 04_choosing-the-learning-rate.mp4 |
16.31MB |
| 04_cost-function-intuition.en.srt |
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| 04_cost-function-intuition.en.txt |
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| 04_cost-function-intuition.mp4 |
29.56MB |
| 04_developing-and-evaluating-an-anomaly-detection-system.en.srt |
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| 04_developing-and-evaluating-an-anomaly-detection-system.en.txt |
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| 04_developing-and-evaluating-an-anomaly-detection-system.mp4 |
23.90MB |
| 04_ethical-use-of-recommender-systems.en.srt |
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| 04_ethical-use-of-recommender-systems.en.txt |
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| 04_ethical-use-of-recommender-systems.mp4 |
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| 04_example-recognizing-images.en.srt |
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| 04_example-recognizing-images.en.txt |
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| 04_example-recognizing-images.mp4 |
14.59MB |
| 04_gradient-descent-for-multiple-linear-regression.en.srt |
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| 04_gradient-descent-for-multiple-linear-regression.en.txt |
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| 04_gradient-descent-for-multiple-linear-regression.mp4 |
19.36MB |
| 04_improved-implementation-of-softmax.en.srt |
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| 04_improved-implementation-of-softmax.en.txt |
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| 04_improved-implementation-of-softmax.mp4 |
15.05MB |
| 04_learning-curves.en.srt |
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| 04_learning-curves.en.txt |
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| 04_learning-curves.mp4 |
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| 04_learning-rate.en.srt |
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| 04_learning-rate.en.txt |
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| 04_learning-rate.mp4 |
16.94MB |
| 04_making-decisions-policies-in-reinforcement-learning.en.srt |
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| 04_making-decisions-policies-in-reinforcement-learning.en.txt |
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| 04_making-decisions-policies-in-reinforcement-learning.mp4 |
5.81MB |
| 04_matrix-multiplication-code.en.srt |
8.82KB |
| 04_matrix-multiplication-code.en.txt |
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| 04_matrix-multiplication-code.mp4 |
13.38MB |
| 04_optimization-objective.en.srt |
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| 04_optimization-objective.en.txt |
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| 04_optimization-objective.mp4 |
29.51MB |
| 04_random-stochastic-environment-optional.en.srt |
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| 04_random-stochastic-environment-optional.en.txt |
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| 04_random-stochastic-environment-optional.mp4 |
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| 04_regularized-linear-regression.en.srt |
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| 04_regularized-linear-regression.en.txt |
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| 04_regularized-linear-regression.mp4 |
19.81MB |
| 04_transfer-learning-using-data-from-a-different-task.en.srt |
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| 04_transfer-learning-using-data-from-a-different-task.en.txt |
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| 04_transfer-learning-using-data-from-a-different-task.mp4 |
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| 04_unsupervised-learning-part-1.en.srt |
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| 04_unsupervised-learning-part-1.en.txt |
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| 04_unsupervised-learning-part-1.mp4 |
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| 04_using-one-hot-encoding-of-categorical-features.en.srt |
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| 04_using-one-hot-encoding-of-categorical-features.en.txt |
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| 04_using-one-hot-encoding-of-categorical-features.mp4 |
14.17MB |
| 04_xgboost.en.srt |
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| 04_xgboost.en.txt |
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| 04_xgboost.mp4 |
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| 05_algorithm-refinement-greedy-policy.en.srt |
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| 05_algorithm-refinement-greedy-policy.en.txt |
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| 05_algorithm-refinement-greedy-policy.mp4 |
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| 05_anomaly-detection-vs-supervised-learning.en.srt |
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| 05_anomaly-detection-vs-supervised-learning.en.txt |
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| 05_anomaly-detection-vs-supervised-learning.mp4 |
20.31MB |
| 05_classification-with-multiple-outputs-optional.en.srt |
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| 05_classification-with-multiple-outputs-optional.en.txt |
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| 05_classification-with-multiple-outputs-optional.mp4 |
11.31MB |
| 05_continuous-valued-features.en.srt |
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| 05_continuous-valued-features.en.txt |
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| 05_continuous-valued-features.mp4 |
15.89MB |
| 05_deciding-what-to-try-next-revisited.en.srt |
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| 05_deciding-what-to-try-next-revisited.en.txt |
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| 05_deciding-what-to-try-next-revisited.mp4 |
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| 05_feature-engineering.en.srt |
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| 05_feature-engineering.en.txt |
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| 05_feature-engineering.mp4 |
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| 05_full-cycle-of-a-machine-learning-project.en.srt |
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| 05_full-cycle-of-a-machine-learning-project.en.txt |
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| 05_full-cycle-of-a-machine-learning-project.mp4 |
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| 05_gradient-descent-for-linear-regression.en.srt |
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| 05_gradient-descent-for-linear-regression.en.txt |
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| 05_gradient-descent-for-linear-regression.mp4 |
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| 05 important-have-questions-issues-or-ideas-join-our-forum instructions html |
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| 05_initializing-k-means.en.srt |
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| 05_initializing-k-means.en.txt |
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| 05_initializing-k-means.mp4 |
17.84MB |
| 05_regularized-logistic-regression.en.srt |
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| 05_regularized-logistic-regression.en.txt |
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| 05_regularized-logistic-regression.mp4 |
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| 05_review-of-key-concepts.en.srt |
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| 05_review-of-key-concepts.en.txt |
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| 05_review-of-key-concepts.mp4 |
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| 05_tensorflow-implementation-of-content-based-filtering.en.srt |
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| 05_tensorflow-implementation-of-content-based-filtering.en.txt |
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| 05_tensorflow-implementation-of-content-based-filtering.mp4 |
12.94MB |
| 05_unsupervised-learning-part-2.en.srt |
5.81KB |
| 05_unsupervised-learning-part-2.en.txt |
3.09KB |
| 05_unsupervised-learning-part-2.mp4 |
8.25MB |
| 05_visualizing-the-cost-function.en.srt |
12.26KB |
| 05_visualizing-the-cost-function.en.txt |
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| 05_visualizing-the-cost-function.mp4 |
17.32MB |
| 05_when-to-use-decision-trees.en.srt |
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| 05_when-to-use-decision-trees.en.txt |
5.58KB |
| 05_when-to-use-decision-trees.mp4 |
17.47MB |
| 06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.srt |
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| 06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.txt |
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| 06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4 |
25.55MB |
| 06_bias-variance-and-neural-networks.en.srt |
14.59KB |
| 06_bias-variance-and-neural-networks.en.txt |
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| 06_bias-variance-and-neural-networks.mp4 |
26.94MB |
| 06_choosing-the-number-of-clusters.en.srt |
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| 06_choosing-the-number-of-clusters.en.txt |
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| 06_choosing-the-number-of-clusters.mp4 |
16.85MB |
| 06_choosing-what-features-to-use.en.srt |
18.62KB |
| 06_choosing-what-features-to-use.en.txt |
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| 06_choosing-what-features-to-use.mp4 |
30.87MB |
| 06_fairness-bias-and-ethics.en.srt |
13.42KB |
| 06_fairness-bias-and-ethics.en.txt |
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| 06_fairness-bias-and-ethics.mp4 |
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| 06_jupyter-notebooks.en.srt |
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| 06_jupyter-notebooks.en.txt |
3.88KB |
| 06_jupyter-notebooks.mp4 |
19.90MB |
| 06_polynomial-regression.en.srt |
9.44KB |
| 06_polynomial-regression.en.txt |
5.00KB |
| 06_polynomial-regression.mp4 |
22.84MB |
| 06_regression-trees-optional.en.srt |
12.17KB |
| 06_regression-trees-optional.en.txt |
7.74KB |
| 06_regression-trees-optional.mp4 |
18.90MB |
| 06_running-gradient-descent.en.srt |
7.31KB |
| 06_running-gradient-descent.en.txt |
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| 06_running-gradient-descent.mp4 |
18.37MB |
| 06_visualization-examples.en.srt |
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| 06_visualization-examples.en.txt |
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| 06_visualization-examples.mp4 |
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| 07_the-state-of-reinforcement-learning.en.srt |
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| 07_the-state-of-reinforcement-learning.en.txt |
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| 07_the-state-of-reinforcement-learning.mp4 |
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