Coursera Machine Learning Specialization
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| Torrent Added : | at April 3, 2024, 5:53 a.m. in Other |
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Coursera Machine Learning Specialization
01_welcome.en.srt -
01_welcome.en.txt -
01_welcome.mp4 -
02_neurons-and-the-brain.en.srt -
02_neurons-and-the-brain.en.txt -
02_neurons-and-the-brain.mp4 -
03_demand-prediction.en.srt -
03_demand-prediction.en.txt -
03_demand-prediction.mp4 -
04_example-recognizing-images.en.srt -
04_example-recognizing-images.en.txt -
04_example-recognizing-images.mp4 -
05_important-have-questions-issues-or-ideas-join-our-forum_instructions.html -
01_neural-network-layer.en.srt -
01_neural-network-layer.en.txt -
01_neural-network-layer.mp4 -
02_more-complex-neural-networks.en.srt -
02_more-complex-neural-networks.en.txt -
02_more-complex-neural-networks.mp4 -
03_inference-making-predictions-forward-propagation.en.srt -
03_inference-making-predictions-forward-propagation.en.txt -
03_inference-making-predictions-forward-propagation.mp4 -
01_inference-in-code.en.srt -
01_inference-in-code.en.txt -
01_inference-in-code.mp4 -
02_data-in-tensorflow.en.srt -
02_data-in-tensorflow.en.txt -
02_data-in-tensorflow.mp4 -
03_building-a-neural-network.en.srt -
03_building-a-neural-network.en.txt -
03_building-a-neural-network.mp4 -
01_forward-prop-in-a-single-layer.en.srt -
01_forward-prop-in-a-single-layer.en.txt -
01_forward-prop-in-a-single-layer.mp4 -
02_general-implementation-of-forward-propagation.en.srt -
02_general-implementation-of-forward-propagation.en.txt -
02_general-implementation-of-forward-propagation.mp4 -
01_is-there-a-path-to-agi.en.srt -
01_is-there-a-path-to-agi.en.txt -
01_is-there-a-path-to-agi.mp4 -
01_how-neural-networks-are-implemented-efficiently.en.srt -
01_how-neural-networks-are-implemented-efficiently.en.txt -
01_how-neural-networks-are-implemented-efficiently.mp4 -
02_matrix-multiplication.en.srt -
02_matrix-multiplication.en.txt -
02_matrix-multiplication.mp4 -
03_matrix-multiplication-rules.en.srt -
03_matrix-multiplication-rules.en.txt -
03_matrix-multiplication-rules.mp4 -
04_matrix-multiplication-code.en.srt -
04_matrix-multiplication-code.en.txt -
04_matrix-multiplication-code.mp4 -
01_tensorflow-implementation.en.srt -
01_tensorflow-implementation.en.txt -
01_tensorflow-implementation.mp4 -
02_training-details.en.srt -
02_training-details.en.txt -
02_training-details.mp4 -
01_alternatives-to-the-sigmoid-activation.en.srt -
01_alternatives-to-the-sigmoid-activation.en.txt -
01_alternatives-to-the-sigmoid-activation.mp4 -
02_choosing-activation-functions.en.srt -
02_choosing-activation-functions.en.txt -
02_choosing-activation-functions.mp4 -
03_why-do-we-need-activation-functions.en.srt -
03_why-do-we-need-activation-functions.en.txt -
03_why-do-we-need-activation-functions.mp4 -
01_multiclass.en.srt -
01_multiclass.en.txt -
01_multiclass.mp4 -
02_softmax.en.srt -
02_softmax.en.txt -
02_softmax.mp4 -
03_neural-network-with-softmax-output.en.srt -
03_neural-network-with-softmax-output.en.txt -
03_neural-network-with-softmax-output.mp4 -
04_improved-implementation-of-softmax.en.srt -
04_improved-implementation-of-softmax.en.txt -
04_improved-implementation-of-softmax.mp4 -
05_classification-with-multiple-outputs-optional.en.srt -
05_classification-with-multiple-outputs-optional.en.txt -
05_classification-with-multiple-outputs-optional.mp4 -
01_advanced-optimization.en.srt -
01_advanced-optimization.en.txt -
01_advanced-optimization.mp4 -
02_additional-layer-types.en.srt -
02_additional-layer-types.en.txt -
02_additional-layer-types.mp4 -
01_what-is-a-derivative-optional.en.srt -
01_what-is-a-derivative-optional.en.txt -
01_what-is-a-derivative-optional.mp4 -
02_computation-graph-optional.en.srt -
02_computation-graph-optional.en.txt -
02_computation-graph-optional.mp4 -
03_larger-neural-network-example-optional.en.srt -
03_larger-neural-network-example-optional.en.txt -
03_larger-neural-network-example-optional.mp4 -
01_deciding-what-to-try-next.en.srt -
01_deciding-what-to-try-next.en.txt -
01_deciding-what-to-try-next.mp4 -
02_evaluating-a-model.en.srt -
02_evaluating-a-model.en.txt -
02_evaluating-a-model.mp4 -
03_model-selection-and-training-cross-validation-test-sets.en.srt -
03_model-selection-and-training-cross-validation-test-sets.en.txt -
03_model-selection-and-training-cross-validation-test-sets.mp4 -
01_diagnosing-bias-and-variance.en.srt -
01_diagnosing-bias-and-variance.en.txt -
01_diagnosing-bias-and-variance.mp4 -
02_regularization-and-bias-variance.en.srt -
02_regularization-and-bias-variance.en.txt -
02_regularization-and-bias-variance.mp4 -
03_establishing-a-baseline-level-of-performance.en.srt -
03_establishing-a-baseline-level-of-performance.en.txt -
03_establishing-a-baseline-level-of-performance.mp4 -
04_learning-curves.en.srt -
04_learning-curves.en.txt -
04_learning-curves.mp4 -
05_deciding-what-to-try-next-revisited.en.srt -
05_deciding-what-to-try-next-revisited.en.txt -
05_deciding-what-to-try-next-revisited.mp4 -
06_bias-variance-and-neural-networks.en.srt -
06_bias-variance-and-neural-networks.en.txt -
06_bias-variance-and-neural-networks.mp4 -
01_iterative-loop-of-ml-development.en.srt -
01_iterative-loop-of-ml-development.en.txt -
01_iterative-loop-of-ml-development.mp4 -
02_error-analysis.en.srt -
02_error-analysis.en.txt -
02_error-analysis.mp4 -
03_adding-data.en.srt -
03_adding-data.en.txt -
03_adding-data.mp4 -
04_transfer-learning-using-data-from-a-different-task.en.srt -
04_transfer-learning-using-data-from-a-different-task.en.txt -
04_transfer-learning-using-data-from-a-different-task.mp4 -
05_full-cycle-of-a-machine-learning-project.en.srt -
05_full-cycle-of-a-machine-learning-project.en.txt -
05_full-cycle-of-a-machine-learning-project.mp4 -
06_fairness-bias-and-ethics.en.srt -
06_fairness-bias-and-ethics.en.txt -
06_fairness-bias-and-ethics.mp4 -
01_error-metrics-for-skewed-datasets.en.srt -
01_error-metrics-for-skewed-datasets.en.txt -
01_error-metrics-for-skewed-datasets.mp4 -
02_trading-off-precision-and-recall.en.srt -
02_trading-off-precision-and-recall.en.txt -
02_trading-off-precision-and-recall.mp4 -
01_decision-tree-model.en.srt -
01_decision-tree-model.en.txt -
01_decision-tree-model.mp4 -
02_learning-process.en.srt -
02_learning-process.en.txt -
02_learning-process.mp4 -
01_measuring-purity.en.srt -
01_measuring-purity.en.txt -
01_measuring-purity.mp4 -
02_choosing-a-split-information-gain.en.srt -
02_choosing-a-split-information-gain.en.txt -
02_choosing-a-split-information-gain.mp4 -
03_putting-it-together.en.srt -
03_putting-it-together.en.txt -
03_putting-it-together.mp4 -
04_using-one-hot-encoding-of-categorical-features.en.srt -
04_using-one-hot-encoding-of-categorical-features.en.txt -
04_using-one-hot-encoding-of-categorical-features.mp4 -
05_continuous-valued-features.en.srt -
05_continuous-valued-features.en.txt -
05_continuous-valued-features.mp4 -
06_regression-trees-optional.en.srt -
06_regression-trees-optional.en.txt -
06_regression-trees-optional.mp4 -
01_using-multiple-decision-trees.en.srt -
01_using-multiple-decision-trees.en.txt -
01_using-multiple-decision-trees.mp4 -
02_sampling-with-replacement.en.srt -
02_sampling-with-replacement.en.txt -
02_sampling-with-replacement.mp4 -
03_random-forest-algorithm.en.srt -
03_random-forest-algorithm.en.txt -
03_random-forest-algorithm.mp4 -
04_xgboost.en.srt -
04_xgboost.en.txt -
04_xgboost.mp4 -
05_when-to-use-decision-trees.en.srt -
05_when-to-use-decision-trees.en.txt -
05_when-to-use-decision-trees.mp4 -
01_important-reminder-about-end-of-access-to-lab-notebooks_instructions.html -
01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt -
01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt -
01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4 -
01_acknowledgements_instructions.html -
01_welcome-to-machine-learning.en.srt -
01_welcome-to-machine-learning.en.txt -
01_welcome-to-machine-learning.mp4 -
02_applications-of-machine-learning.en.srt -
02_applications-of-machine-learning.en.txt -
02_applications-of-machine-learning.mp4 -
03_important-have-questions-issues-or-ideas-join-our-forum_instructions.html -
01_what-is-machine-learning.en.srt -
01_what-is-machine-learning.en.txt -
01_what-is-machine-learning.mp4 -
02_supervised-learning-part-1.en.srt -
02_supervised-learning-part-1.en.txt -
02_supervised-learning-part-1.mp4 -
03_supervised-learning-part-2.en.srt -
03_supervised-learning-part-2.en.txt -
03_supervised-learning-part-2.mp4 -
04_unsupervised-learning-part-1.en.srt -
04_unsupervised-learning-part-1.en.txt -
04_unsupervised-learning-part-1.mp4 -
05_unsupervised-learning-part-2.en.srt -
05_unsupervised-learning-part-2.en.txt -
05_unsupervised-learning-part-2.mp4 -
06_jupyter-notebooks.en.srt -
06_jupyter-notebooks.en.txt -
06_jupyter-notebooks.mp4 -
01_linear-regression-model-part-1.en.srt -
01_linear-regression-model-part-1.en.txt -
01_linear-regression-model-part-1.mp4 -
02_linear-regression-model-part-2.en.srt -
02_linear-regression-model-part-2.en.txt -
02_linear-regression-model-part-2.mp4 -
03_cost-function-formula.en.srt -
03_cost-function-formula.en.txt -
03_cost-function-formula.mp4 -
04_cost-function-intuition.en.srt -
04_cost-function-intuition.en.txt -
04_cost-function-intuition.mp4 -
05_visualizing-the-cost-function.en.srt -
05_visualizing-the-cost-function.en.txt -
05_visualizing-the-cost-function.mp4 -
06_visualization-examples.en.srt -
06_visualization-examples.en.txt -
06_visualization-examples.mp4 -
01_gradient-descent.en.srt -
01_gradient-descent.en.txt -
01_gradient-descent.mp4 -
02_implementing-gradient-descent.en.srt -
02_implementing-gradient-descent.en.txt -
02_implementing-gradient-descent.mp4 -
03_gradient-descent-intuition.en.srt -
03_gradient-descent-intuition.en.txt -
03_gradient-descent-intuition.mp4 -
04_learning-rate.en.srt -
04_learning-rate.en.txt -
04_learning-rate.mp4 -
05_gradient-descent-for-linear-regression.en.srt -
05_gradient-descent-for-linear-regression.en.txt -
05_gradient-descent-for-linear-regression.mp4 -
06_running-gradient-descent.en.srt -
06_running-gradient-descent.en.txt -
06_running-gradient-descent.mp4 -
01_multiple-features.en.srt -
01_multiple-features.en.txt -
01_multiple-features.mp4 -
02_vectorization-part-1.en.srt -
02_vectorization-part-1.en.txt -
02_vectorization-part-1.mp4 -
03_vectorization-part-2.en.srt -
03_vectorization-part-2.en.txt -
03_vectorization-part-2.mp4 -
04_gradient-descent-for-multiple-linear-regression.en.srt -
04_gradient-descent-for-multiple-linear-regression.en.txt -
04_gradient-descent-for-multiple-linear-regression.mp4 -
01_feature-scaling-part-1.en.srt -
01_feature-scaling-part-1.en.txt -
01_feature-scaling-part-1.mp4 -
02_feature-scaling-part-2.en.srt -
02_feature-scaling-part-2.en.txt -
02_feature-scaling-part-2.mp4 -
03_checking-gradient-descent-for-convergence.en.srt -
03_checking-gradient-descent-for-convergence.en.txt -
03_checking-gradient-descent-for-convergence.mp4 -
04_choosing-the-learning-rate.en.srt -
04_choosing-the-learning-rate.en.txt -
04_choosing-the-learning-rate.mp4 -
05_feature-engineering.en.srt -
05_feature-engineering.en.txt -
05_feature-engineering.mp4 -
06_polynomial-regression.en.srt -
06_polynomial-regression.en.txt -
06_polynomial-regression.mp4 -
01_motivations.en.srt -
01_motivations.en.txt -
01_motivations.mp4 -
02_logistic-regression.en.srt -
02_logistic-regression.en.txt -
02_logistic-regression.mp4 -
03_decision-boundary.en.srt -
03_decision-boundary.en.txt -
03_decision-boundary.mp4 -
01_cost-function-for-logistic-regression.en.srt -
01_cost-function-for-logistic-regression.en.txt -
01_cost-function-for-logistic-regression.mp4 -
02_simplified-cost-function-for-logistic-regression.en.srt -
02_simplified-cost-function-for-logistic-regression.en.txt -
02_simplified-cost-function-for-logistic-regression.mp4 -
01_gradient-descent-implementation.en.srt -
01_gradient-descent-implementation.en.txt -
01_gradient-descent-implementation.mp4 -
01_the-problem-of-overfitting.en.srt -
01_the-problem-of-overfitting.en.txt -
01_the-problem-of-overfitting.mp4 -
02_addressing-overfitting.en.srt -
02_addressing-overfitting.en.txt -
02_addressing-overfitting.mp4 -
03_cost-function-with-regularization.en.srt -
03_cost-function-with-regularization.en.txt -
03_cost-function-with-regularization.mp4 -
04_regularized-linear-regression.en.srt -
04_regularized-linear-regression.en.txt -
04_regularized-linear-regression.mp4 -
05_regularized-logistic-regression.en.srt -
05_regularized-logistic-regression.en.txt -
05_regularized-logistic-regression.mp4 -
01_important-reminder-about-end-of-access-to-lab-notebooks_instructions.html -
01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.srt -
01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.txt -
01_andrew-ng-and-fei-fei-li-on-human-centered-ai.mp4 -
01_acknowledgments_instructions.html -
01_welcome.en.srt -
01_welcome.en.txt -
01_welcome.mp4 -
02_important-have-questions-issues-or-ideas-join-our-forum_instructions.html -
01_what-is-clustering.en.srt -
01_what-is-clustering.en.txt -
01_what-is-clustering.mp4 -
02_k-means-intuition.en.srt -
02_k-means-intuition.en.txt -
02_k-means-intuition.mp4 -
03_k-means-algorithm.en.srt -
03_k-means-algorithm.en.txt -
03_k-means-algorithm.mp4 -
04_optimization-objective.en.srt -
04_optimization-objective.en.txt -
04_optimization-objective.mp4 -
05_initializing-k-means.en.srt -
05_initializing-k-means.en.txt -
05_initializing-k-means.mp4 -
06_choosing-the-number-of-clusters.en.srt -
06_choosing-the-number-of-clusters.en.txt -
06_choosing-the-number-of-clusters.mp4 -
01_finding-unusual-events.en.srt -
01_finding-unusual-events.en.txt -
01_finding-unusual-events.mp4 -
02_gaussian-normal-distribution.en.srt -
02_gaussian-normal-distribution.en.txt -
02_gaussian-normal-distribution.mp4 -
03_anomaly-detection-algorithm.en.srt -
03_anomaly-detection-algorithm.en.txt -
03_anomaly-detection-algorithm.mp4 -
04_developing-and-evaluating-an-anomaly-detection-system.en.srt -
04_developing-and-evaluating-an-anomaly-detection-system.en.txt -
04_developing-and-evaluating-an-anomaly-detection-system.mp4 -
05_anomaly-detection-vs-supervised-learning.en.srt -
05_anomaly-detection-vs-supervised-learning.en.txt -
05_anomaly-detection-vs-supervised-learning.mp4 -
06_choosing-what-features-to-use.en.srt -
06_choosing-what-features-to-use.en.txt -
06_choosing-what-features-to-use.mp4 -
01_making-recommendations.en.srt -
01_making-recommendations.en.txt -
01_making-recommendations.mp4 -
02_using-per-item-features.en.srt -
02_using-per-item-features.en.txt -
02_using-per-item-features.mp4 -
03_collaborative-filtering-algorithm.en.srt -
03_collaborative-filtering-algorithm.en.txt -
03_collaborative-filtering-algorithm.mp4 -
04_binary-labels-favs-likes-and-clicks.en.srt -
04_binary-labels-favs-likes-and-clicks.en.txt -
04_binary-labels-favs-likes-and-clicks.mp4 -
01_mean-normalization.en.srt -
01_mean-normalization.en.txt -
01_mean-normalization.mp4 -
02_tensorflow-implementation-of-collaborative-filtering.en.srt -
02_tensorflow-implementation-of-collaborative-filtering.en.txt -
02_tensorflow-implementation-of-collaborative-filtering.mp4 -
03_finding-related-items.en.srt -
03_finding-related-items.en.txt -
03_finding-related-items.mp4 -
01_collaborative-filtering-vs-content-based-filtering.en.srt -
01_collaborative-filtering-vs-content-based-filtering.en.txt -
01_collaborative-filtering-vs-content-based-filtering.mp4 -
02_deep-learning-for-content-based-filtering.en.srt -
02_deep-learning-for-content-based-filtering.en.txt -
02_deep-learning-for-content-based-filtering.mp4 -
03_recommending-from-a-large-catalogue.en.srt -
03_recommending-from-a-large-catalogue.en.txt -
03_recommending-from-a-large-catalogue.mp4 -
04_ethical-use-of-recommender-systems.en.srt -
04_ethical-use-of-recommender-systems.en.txt -
04_ethical-use-of-recommender-systems.mp4 -
05_tensorflow-implementation-of-content-based-filtering.en.srt -
05_tensorflow-implementation-of-content-based-filtering.en.txt -
05_tensorflow-implementation-of-content-based-filtering.mp4 -
01_reducing-the-number-of-features-optional.en.srt -
01_reducing-the-number-of-features-optional.en.txt -
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02_pca-algorithm-optional.en.srt -
02_pca-algorithm-optional.en.txt -
02_pca-algorithm-optional.mp4 -
03_pca-in-code-optional.en.srt -
03_pca-in-code-optional.en.txt -
03_pca-in-code-optional.mp4 -
01_what-is-reinforcement-learning.en.srt -
01_what-is-reinforcement-learning.en.txt -
01_what-is-reinforcement-learning.mp4 -
02_mars-rover-example.en.srt -
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02_mars-rover-example.mp4 -
03_the-return-in-reinforcement-learning.en.srt -
03_the-return-in-reinforcement-learning.en.txt -
03_the-return-in-reinforcement-learning.mp4 -
04_making-decisions-policies-in-reinforcement-learning.en.srt -
04_making-decisions-policies-in-reinforcement-learning.en.txt -
04_making-decisions-policies-in-reinforcement-learning.mp4 -
05_review-of-key-concepts.en.srt -
05_review-of-key-concepts.en.txt -
05_review-of-key-concepts.mp4 -
01_state-action-value-function-definition.en.srt -
01_state-action-value-function-definition.en.txt -
01_state-action-value-function-definition.mp4 -
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02_state-action-value-function-example.en.txt -
02_state-action-value-function-example.mp4 -
03_bellman-equation.en.srt -
03_bellman-equation.en.txt -
03_bellman-equation.mp4 -
04_random-stochastic-environment-optional.en.srt -
04_random-stochastic-environment-optional.en.txt -
04_random-stochastic-environment-optional.mp4 -
01_example-of-continuous-state-space-applications.en.srt -
01_example-of-continuous-state-space-applications.en.txt -
01_example-of-continuous-state-space-applications.mp4 -
02_lunar-lander.en.srt -
02_lunar-lander.en.txt -
02_lunar-lander.mp4 -
03_learning-the-state-value-function.en.srt -
03_learning-the-state-value-function.en.txt -
03_learning-the-state-value-function.mp4 -
04_algorithm-refinement-improved-neural-network-architecture.en.srt -
04_algorithm-refinement-improved-neural-network-architecture.en.txt -
04_algorithm-refinement-improved-neural-network-architecture.mp4 -
05_algorithm-refinement-greedy-policy.en.srt -
05_algorithm-refinement-greedy-policy.en.txt -
05_algorithm-refinement-greedy-policy.mp4 -
06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.srt -
06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.txt -
06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4 -
07_the-state-of-reinforcement-learning.en.srt -
07_the-state-of-reinforcement-learning.en.txt -
07_the-state-of-reinforcement-learning.mp4 -
01_important-reminder-about-end-of-access-to-lab-notebooks_instructions.html -
01_summary-and-thank-you.en.srt -
01_summary-and-thank-you.en.txt -
01_summary-and-thank-you.mp4 -
01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.srt -
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