Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb


    Seeders : 26      Leechers : 6

Torrent Hash : DB83B358E3FA5A6DDCC731BB936DA503A039CFD6
Torrent Added : at July 6, 2023, 7:32 p.m. in Other
Torrent Size : 3.5 GB











Note :

Please Update (Trackers Info) Before Start " Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.

Torrent File Content (3 files)


Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb
     Get Bonus Downloads Here.url -
182 bytes



     Bonus Resources.txt -
386 bytes



     01_welcome.en.srt -
5.4 KB



     01_welcome.en.txt -
2.8 KB



     01_welcome.mp4 -
10.6 MB



     02_neurons-and-the-brain.en.srt -
18.3 KB



     02_neurons-and-the-brain.en.txt -
9.5 KB



     02_neurons-and-the-brain.mp4 -
26.9 MB



     03_demand-prediction.en.srt -
26.6 KB



     03_demand-prediction.en.txt -
14.0 KB



     03_demand-prediction.mp4 -
24.2 MB



     04_example-recognizing-images.en.srt -
10.2 KB



     04_example-recognizing-images.en.txt -
5.3 KB



     04_example-recognizing-images.mp4 -
14.6 MB



     01_neural-network-layer.en.srt -
13.0 KB



     01_neural-network-layer.en.txt -
6.8 KB



     01_neural-network-layer.mp4 -
20.4 MB



     02_more-complex-neural-networks.en.srt -
11.7 KB



     02_more-complex-neural-networks.en.txt -
6.1 KB



     02_more-complex-neural-networks.mp4 -
17.0 MB



     03_inference-making-predictions-forward-propagation.en.srt -
7.0 KB



     03_inference-making-predictions-forward-propagation.en.txt -
4.3 KB



     03_inference-making-predictions-forward-propagation.mp4 -
12.6 MB



     01_inference-in-code.en.srt -
10.0 KB



     01_inference-in-code.en.txt -
5.2 KB



     01_inference-in-code.mp4 -
16.8 MB



     02_data-in-tensorflow.en.srt -
13.2 KB



     02_data-in-tensorflow.en.txt -
8.3 KB



     02_data-in-tensorflow.mp4 -
24.8 MB



     03_building-a-neural-network.en.srt -
10.7 KB



     03_building-a-neural-network.en.txt -
6.9 KB



     03_building-a-neural-network.mp4 -
24.4 MB



     01_forward-prop-in-a-single-layer.en.srt -
6.1 KB



     01_forward-prop-in-a-single-layer.en.txt -
3.8 KB



     01_forward-prop-in-a-single-layer.mp4 -
12.4 MB



     02_general-implementation-of-forward-propagation.en.srt -
11.6 KB



     02_general-implementation-of-forward-propagation.en.txt -
6.0 KB



     02_general-implementation-of-forward-propagation.mp4 -
21.3 MB



     01_is-there-a-path-to-agi.en.srt -
16.4 KB



     01_is-there-a-path-to-agi.en.txt -
8.6 KB



     01_is-there-a-path-to-agi.mp4 -
28.1 MB



     01_how-neural-networks-are-implemented-efficiently.en.srt -
6.1 KB



     01_how-neural-networks-are-implemented-efficiently.en.txt -
3.2 KB



     01_how-neural-networks-are-implemented-efficiently.mp4 -
12.2 MB



     02_matrix-multiplication.en.srt -
12.3 KB



     02_matrix-multiplication.en.txt -
6.4 KB



     02_matrix-multiplication.mp4 -
15.9 MB



     03_matrix-multiplication-rules.en.srt -
11.4 KB



     03_matrix-multiplication-rules.en.txt -
7.1 KB



     03_matrix-multiplication-rules.mp4 -
16.1 MB



     04_matrix-multiplication-code.en.srt -
8.8 KB



     04_matrix-multiplication-code.en.txt -
4.6 KB



     04_matrix-multiplication-code.mp4 -
13.4 MB



     01_tensorflow-implementation.en.srt -
5.9 KB



     01_tensorflow-implementation.en.txt -
3.1 KB



     01_tensorflow-implementation.mp4 -
11.4 MB



     02_training-details.en.srt -
20.9 KB



     02_training-details.en.txt -
10.9 KB



     02_training-details.mp4 -
24.1 MB



     01_alternatives-to-the-sigmoid-activation.en.srt -
6.8 KB



     01_alternatives-to-the-sigmoid-activation.en.txt -
4.3 KB



     01_alternatives-to-the-sigmoid-activation.mp4 -
12.0 MB



     02_choosing-activation-functions.en.srt -
13.8 KB



     02_choosing-activation-functions.en.txt -
7.2 KB



     02_choosing-activation-functions.mp4 -
23.4 MB



     03_why-do-we-need-activation-functions.en.srt -
7.6 KB



     03_why-do-we-need-activation-functions.en.txt -
4.0 KB



     03_why-do-we-need-activation-functions.mp4 -
12.9 MB



     01_multiclass.en.srt -
4.3 KB



     01_multiclass.en.txt -
2.8 KB



     01_multiclass.mp4 -
8.4 MB



     02_softmax.en.srt -
15.4 KB



     02_softmax.en.txt -
7.9 KB



     02_softmax.mp4 -
20.7 MB



     03_neural-network-with-softmax-output.en.srt -
9.1 KB



     03_neural-network-with-softmax-output.en.txt -
5.8 KB



     03_neural-network-with-softmax-output.mp4 -
15.0 MB



     04_improved-implementation-of-softmax.en.srt -
13.4 KB



     04_improved-implementation-of-softmax.en.txt -
7.1 KB



     04_improved-implementation-of-softmax.mp4 -
15.1 MB



     05_classification-with-multiple-outputs-optional.en.srt -
6.8 KB



     05_classification-with-multiple-outputs-optional.en.txt -
3.6 KB



     05_classification-with-multiple-outputs-optional.mp4 -
11.3 MB



     01_advanced-optimization.en.srt -
10.5 KB



     01_advanced-optimization.en.txt -
5.6 KB



     01_advanced-optimization.mp4 -
15.6 MB



     02_additional-layer-types.en.srt -
11.3 KB



     02_additional-layer-types.en.txt -
7.2 KB



     02_additional-layer-types.mp4 -
19.5 MB



     01_what-is-a-derivative-optional.en.srt -
29.7 KB



     01_what-is-a-derivative-optional.en.txt -
15.2 KB



     01_what-is-a-derivative-optional.mp4 -
38.3 MB



     02_computation-graph-optional.en.srt -
26.4 KB



     02_computation-graph-optional.en.txt -
13.6 KB



     02_computation-graph-optional.mp4 -
30.0 MB



     03_larger-neural-network-example-optional.en.srt -
11.9 KB



     03_larger-neural-network-example-optional.en.txt -
7.3 KB



     03_larger-neural-network-example-optional.mp4 -
26.1 MB



     01_deciding-what-to-try-next.en.srt -
6.8 KB



     01_deciding-what-to-try-next.en.txt -
3.6 KB



     01_deciding-what-to-try-next.mp4 -
11.4 MB



     02_evaluating-a-model.en.srt -
12.8 KB



     02_evaluating-a-model.en.txt -
8.1 KB



     02_evaluating-a-model.mp4 -
19.5 MB



     03_model-selection-and-training-cross-validation-test-sets.en.srt -
21.3 KB



     03_model-selection-and-training-cross-validation-test-sets.en.txt -
11.2 KB



     03_model-selection-and-training-cross-validation-test-sets.mp4 -
29.6 MB



     01_diagnosing-bias-and-variance.en.srt -
17.8 KB



     01_diagnosing-bias-and-variance.en.txt -
9.2 KB



     01_diagnosing-bias-and-variance.mp4 -
20.3 MB



     02_regularization-and-bias-variance.en.srt -
16.3 KB



     02_regularization-and-bias-variance.en.txt -
8.3 KB



     02_regularization-and-bias-variance.mp4 -
21.1 MB



     03_establishing-a-baseline-level-of-performance.en.srt -
15.8 KB



     03_establishing-a-baseline-level-of-performance.en.txt -
8.3 KB



     03_establishing-a-baseline-level-of-performance.mp4 -
19.4 MB



     04_learning-curves.en.srt -
20.1 KB



     04_learning-curves.en.txt -
10.5 KB



     04_learning-curves.mp4 -
23.3 MB



     05_deciding-what-to-try-next-revisited.en.srt -
14.5 KB



     05_deciding-what-to-try-next-revisited.en.txt -
7.8 KB



     05_deciding-what-to-try-next-revisited.mp4 -
28.0 MB



     06_bias-variance-and-neural-networks.en.srt -
14.6 KB



     06_bias-variance-and-neural-networks.en.txt -
9.5 KB



     06_bias-variance-and-neural-networks.mp4 -
26.9 MB



     01_iterative-loop-of-ml-development.en.srt -
12.1 KB



     01_iterative-loop-of-ml-development.en.txt -
6.4 KB



     01_iterative-loop-of-ml-development.mp4 -
14.8 MB



     02_error-analysis.en.srt -
13.2 KB



     02_error-analysis.en.txt -
7.0 KB



     02_error-analysis.mp4 -
17.5 MB



     03_adding-data.en.srt -
18.9 KB



     03_adding-data.en.txt -
12.0 KB



     03_adding-data.mp4 -
32.9 MB



     04_transfer-learning-using-data-from-a-different-task.en.srt -
20.2 KB



     04_transfer-learning-using-data-from-a-different-task.en.txt -
10.5 KB



     04_transfer-learning-using-data-from-a-different-task.mp4 -
19.0 MB



     05_full-cycle-of-a-machine-learning-project.en.srt -
14.5 KB



     05_full-cycle-of-a-machine-learning-project.en.txt -
7.7 KB



     05_full-cycle-of-a-machine-learning-project.mp4 -
16.4 MB



     06_fairness-bias-and-ethics.en.srt -
13.4 KB



     06_fairness-bias-and-ethics.en.txt -
8.6 KB



     06_fairness-bias-and-ethics.mp4 -
25.3 MB



     01_error-metrics-for-skewed-datasets.en.srt -
17.0 KB



     01_error-metrics-for-skewed-datasets.en.txt -
8.9 KB



     01_error-metrics-for-skewed-datasets.mp4 -
19.0 MB



     02_trading-off-precision-and-recall.en.srt -
18.3 KB



     02_trading-off-precision-and-recall.en.txt -
9.6 KB



     02_trading-off-precision-and-recall.mp4 -
22.2 MB



     01_decision-tree-model.en.srt -
10.8 KB



     01_decision-tree-model.en.txt -
5.6 KB



     01_decision-tree-model.mp4 -
14.8 MB



     02_learning-process.en.srt -
18.0 KB



     02_learning-process.en.txt -
9.4 KB



     02_learning-process.mp4 -
29.0 MB



     01_measuring-purity.en.srt -
10.2 KB



     01_measuring-purity.en.txt -
5.4 KB



     01_measuring-purity.mp4 -
16.0 MB



     02_choosing-a-split-information-gain.en.srt -
17.4 KB



     02_choosing-a-split-information-gain.en.txt -
9.0 KB



     02_choosing-a-split-information-gain.mp4 -
23.8 MB



     03_putting-it-together.en.srt -
14.6 KB



     03_putting-it-together.en.txt -
7.8 KB



     03_putting-it-together.mp4 -
18.4 MB



     04_using-one-hot-encoding-of-categorical-features.en.srt -
6.6 KB



     04_using-one-hot-encoding-of-categorical-features.en.txt -
4.3 KB



     04_using-one-hot-encoding-of-categorical-features.mp4 -
14.2 MB



     05_continuous-valued-features.en.srt -
8.6 KB



     05_continuous-valued-features.en.txt -
5.5 KB



     05_continuous-valued-features.mp4 -
15.9 MB



     06_regression-trees-optional.en.srt -
12.2 KB



     06_regression-trees-optional.en.txt -
7.7 KB



     06_regression-trees-optional.mp4 -
18.9 MB



     01_using-multiple-decision-trees.en.srt -
6.4 KB



     01_using-multiple-decision-trees.en.txt -
3.4 KB



     01_using-multiple-decision-trees.mp4 -
12.5 MB



     02_sampling-with-replacement.en.srt -
6.5 KB



     02_sampling-with-replacement.en.txt -
3.4 KB



     02_sampling-with-replacement.mp4 -
14.3 MB



     03_random-forest-algorithm.en.srt -
8.7 KB



     03_random-forest-algorithm.en.txt -
5.6 KB



     03_random-forest-algorithm.mp4 -
12.7 MB



     04_xgboost.en.srt -
9.4 KB



     04_xgboost.en.txt -
6.0 KB



     04_xgboost.mp4 -
21.1 MB



     05_when-to-use-decision-trees.en.srt -
10.5 KB



     05_when-to-use-decision-trees.en.txt -
5.6 KB



     05_when-to-use-decision-trees.mp4 -
17.5 MB



     01_andrew-ng-and-chris-manning-on-natural-language-processing.en.srt -
63.9 KB



     01_andrew-ng-and-chris-manning-on-natural-language-processing.en.txt -
39.9 KB



     01_andrew-ng-and-chris-manning-on-natural-language-processing.mp4 -
236.2 MB



     01_acknowledgements_instructions.html -
5.3 KB



     01_welcome-to-machine-learning.en.srt -
3.9 KB



     01_welcome-to-machine-learning.en.txt -
2.4 KB



     01_welcome-to-machine-learning.mp4 -
22.2 MB



     02_applications-of-machine-learning.en.srt -
7.5 KB



     02_applications-of-machine-learning.en.txt -
3.9 KB



     02_applications-of-machine-learning.mp4 -
33.4 MB



     01_what-is-machine-learning.en.srt -
9.5 KB



     01_what-is-machine-learning.en.txt -
5.0 KB



     01_what-is-machine-learning.mp4 -
26.0 MB



     02_supervised-learning-part-1.en.srt -
10.8 KB



     02_supervised-learning-part-1.en.txt -
5.6 KB



     02_supervised-learning-part-1.mp4 -
13.9 MB



     03_supervised-learning-part-2.en.srt -
8.9 KB



     03_supervised-learning-part-2.en.txt -
5.5 KB



     03_supervised-learning-part-2.mp4 -
14.4 MB



     04_unsupervised-learning-part-1.en.srt -
11.6 KB



     04_unsupervised-learning-part-1.en.txt -
7.4 KB



     04_unsupervised-learning-part-1.mp4 -
18.7 MB



     05_unsupervised-learning-part-2.en.srt -
5.8 KB



     05_unsupervised-learning-part-2.en.txt -
3.1 KB



     05_unsupervised-learning-part-2.mp4 -
8.2 MB



     06_jupyter-notebooks.en.srt -
7.3 KB



     06_jupyter-notebooks.en.txt -
3.9 KB



     06_jupyter-notebooks.mp4 -
19.9 MB



     01_practice-quiz-supervised-vs-unsupervised-learning_exam.html -
1.9 KB



     01_linear-regression-model-part-1.en.srt -
14.8 KB



     01_linear-regression-model-part-1.en.txt -
7.6 KB



     01_linear-regression-model-part-1.mp4 -
20.3 MB



     02_linear-regression-model-part-2.en.srt -
9.6 KB



     02_linear-regression-model-part-2.en.txt -
5.0 KB



     02_linear-regression-model-part-2.mp4 -
16.2 MB



     03_cost-function-formula.en.srt -
11.9 KB



     03_cost-function-formula.en.txt -
6.2 KB



     03_cost-function-formula.mp4 -
16.7 MB



     04_cost-function-intuition.en.srt -
20.2 KB



     04_cost-function-intuition.en.txt -
10.2 KB



     04_cost-function-intuition.mp4 -
29.6 MB



     05_visualizing-the-cost-function.en.srt -
12.3 KB



     05_visualizing-the-cost-function.en.txt -
6.3 KB



     05_visualizing-the-cost-function.mp4 -
17.3 MB



     06_visualization-examples.en.srt -
8.7 KB



     06_visualization-examples.en.txt -
4.6 KB



     06_visualization-examples.mp4 -
17.2 MB



     01_practice-quiz-regression_exam.html -
2.6 KB



     01_gradient-descent.en.srt -
12.2 KB



     01_gradient-descent.en.txt -
6.4 KB



     01_gradient-descent.mp4 -
22.5 MB



     02_implementing-gradient-descent.en.srt -
14.2 KB



     02_implementing-gradient-descent.en.txt -
7.5 KB



     02_implementing-gradient-descent.mp4 -
20.9 MB



     03_gradient-descent-intuition.en.srt -
10.0 KB



     03_gradient-descent-intuition.en.txt -
5.3 KB



     03_gradient-descent-intuition.mp4 -
13.2 MB



     04_learning-rate.en.srt -
11.2 KB



     04_learning-rate.en.txt -
6.9 KB



     04_learning-rate.mp4 -
16.9 MB



     05_gradient-descent-for-linear-regression.en.srt -
9.1 KB



     05_gradient-descent-for-linear-regression.en.txt -
4.9 KB



     05_gradient-descent-for-linear-regression.mp4 -
16.4 MB



     06_running-gradient-descent.en.srt -
7.3 KB



     06_running-gradient-descent.en.txt -
4.6 KB



     06_running-gradient-descent.mp4 -
18.4 MB



     01_practice-quiz-train-the-model-with-gradient-descent_exam.html -
21.4 KB



     01_multiple-features.en.srt -
13.4 KB



     01_multiple-features.en.txt -
6.9 KB



     01_multiple-features.mp4 -
18.9 MB



     02_vectorization-part-1.en.srt -
9.7 KB



     02_vectorization-part-1.en.txt -
5.1 KB



     02_vectorization-part-1.mp4 -
17.3 MB



     03_vectorization-part-2.en.srt -
10.0 KB



     03_vectorization-part-2.en.txt -
5.3 KB



     03_vectorization-part-2.mp4 -
17.3 MB



     04_gradient-descent-for-multiple-linear-regression.en.srt -
11.1 KB



     04_gradient-descent-for-multiple-linear-regression.en.txt -
5.9 KB



     04_gradient-descent-for-multiple-linear-regression.mp4 -
19.4 MB



     01_practice-quiz-multiple-linear-regression_exam.html -
69.8 KB



     01_feature-scaling-part-1.en.srt -
7.6 KB



     01_feature-scaling-part-1.en.txt -
4.8 KB



     01_feature-scaling-part-1.mp4 -
13.6 MB



     02_feature-scaling-part-2.en.srt -
10.8 KB



     02_feature-scaling-part-2.en.txt -
5.6 KB



     02_feature-scaling-part-2.mp4 -
14.4 MB



     03_checking-gradient-descent-for-convergence.en.srt -
8.3 KB



     03_checking-gradient-descent-for-convergence.en.txt -
4.3 KB



     03_checking-gradient-descent-for-convergence.mp4 -
11.0 MB



     04_choosing-the-learning-rate.en.srt -
9.6 KB



     04_choosing-the-learning-rate.en.txt -
5.1 KB



     04_choosing-the-learning-rate.mp4 -
16.3 MB



     05_feature-engineering.en.srt -
4.9 KB



     05_feature-engineering.en.txt -
2.5 KB



     05_feature-engineering.mp4 -
7.8 MB



     06_polynomial-regression.en.srt -
9.4 KB



     06_polynomial-regression.en.txt -
5.0 KB



     06_polynomial-regression.mp4 -
22.8 MB



     01_practice-quiz-gradient-descent-in-practice_exam.html -
164.9 KB



     01_week-2-practice-lab-linear-regression_instructions.html -
2.6 KB



     01_motivations.en.srt -
12.7 KB



     01_motivations.en.txt -
7.8 KB



     01_motivations.mp4 -
21.0 MB



     02_logistic-regression.en.srt -
13.3 KB



     02_logistic-regression.en.txt -
7.0 KB



     02_logistic-regression.mp4 -
21.5 MB



     03_decision-boundary.en.srt -
14.1 KB



     03_decision-boundary.en.txt -
7.3 KB



     03_decision-boundary.mp4 -
18.9 MB



     01_practice-quiz-classification-with-logistic-regression_exam.html -
51.5 KB



     01_cost-function-for-logistic-regression.en.srt -
17.1 KB



     01_cost-function-for-logistic-regression.en.txt -
8.9 KB



     01_cost-function-for-logistic-regression.mp4 -
24.6 MB



     02_simplified-cost-function-for-logistic-regression.en.srt -
7.6 KB



     02_simplified-cost-function-for-logistic-regression.en.txt -
3.9 KB



     02_simplified-cost-function-for-logistic-regression.mp4 -
11.7 MB



     01_practice-quiz-cost-function-for-logistic-regression_exam.html -
77.0 KB



     01_gradient-descent-implementation.en.srt -
9.6 KB



     01_gradient-descent-implementation.en.txt -
5.0 KB



     01_gradient-descent-implementation.mp4 -
12.8 MB



     01_practice-quiz-gradient-descent-for-logistic-regression_exam.html -
102.1 KB



     01_the-problem-of-overfitting.en.srt -
18.3 KB



     01_the-problem-of-overfitting.en.txt -
9.6 KB



     01_the-problem-of-overfitting.mp4 -
24.0 MB



     02_addressing-overfitting.en.srt -
12.9 KB



     02_addressing-overfitting.en.txt -
6.9 KB



     02_addressing-overfitting.mp4 -
15.7 MB



     03_cost-function-with-regularization.en.srt -
11.3 KB



     03_cost-function-with-regularization.en.txt -
7.2 KB



     03_cost-function-with-regularization.mp4 -
17.1 MB



     04_regularized-linear-regression.en.srt -
12.0 KB



     04_regularized-linear-regression.en.txt -
6.4 KB



     04_regularized-linear-regression.mp4 -
19.8 MB



     05_regularized-logistic-regression.en.srt -
8.7 KB



     05_regularized-logistic-regression.en.txt -
4.7 KB



     05_regularized-logistic-regression.mp4 -
20.9 MB



     01_practice-quiz-the-problem-of-overfitting_exam.html -
89.8 KB



     01_week-3-practice-lab-logistic-regression_instructions.html -
1.1 KB



     01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.srt -
59.7 KB



     01_andrew-ng-and-fei-fei-li-on-human-centered-ai.en.txt -
30.7 KB



     01_andrew-ng-and-fei-fei-li-on-human-centered-ai.mp4 -
214.7 MB



     01_acknowledgments_instructions.html -
5.3 KB



     01_welcome.en.srt -
5.5 KB



     01_welcome.en.txt -
2.9 KB



     01_welcome.mp4 -
8.3 MB



     01_what-is-clustering.en.srt -
5.9 KB



     01_what-is-clustering.en.txt -
3.2 KB



     01_what-is-clustering.mp4 -
8.8 MB



     02_k-means-intuition.en.srt -
9.0 KB



     02_k-means-intuition.en.txt -
5.7 KB



     02_k-means-intuition.mp4 -
12.4 MB



     03_k-means-algorithm.en.srt -
14.2 KB



     03_k-means-algorithm.en.txt -
7.4 KB



     03_k-means-algorithm.mp4 -
19.8 MB



     04_optimization-objective.en.srt -
13.7 KB



     04_optimization-objective.en.txt -
8.6 KB



     04_optimization-objective.mp4 -
29.5 MB



     05_initializing-k-means.en.srt -
10.7 KB



     05_initializing-k-means.en.txt -
7.0 KB



     05_initializing-k-means.mp4 -
17.8 MB



     06_choosing-the-number-of-clusters.en.srt -
11.2 KB



     06_choosing-the-number-of-clusters.en.txt -
5.8 KB



     06_choosing-the-number-of-clusters.mp4 -
16.9 MB



     01_finding-unusual-events.en.srt -
14.5 KB



     01_finding-unusual-events.en.txt -
9.4 KB



     01_finding-unusual-events.mp4 -
26.3 MB



     02_gaussian-normal-distribution.en.srt -
15.0 KB



     02_gaussian-normal-distribution.en.txt -
7.9 KB



     02_gaussian-normal-distribution.mp4 -
20.9 MB



     03_anomaly-detection-algorithm.en.srt -
13.3 KB



     03_anomaly-detection-algorithm.en.txt -
8.4 KB



     03_anomaly-detection-algorithm.mp4 -
20.3 MB



     04_developing-and-evaluating-an-anomaly-detection-system.en.srt -
17.5 KB



     04_developing-and-evaluating-an-anomaly-detection-system.en.txt -
9.2 KB



     04_developing-and-evaluating-an-anomaly-detection-system.mp4 -
23.9 MB



     05_anomaly-detection-vs-supervised-learning.en.srt -
11.2 KB



     05_anomaly-detection-vs-supervised-learning.en.txt -
7.1 KB



     05_anomaly-detection-vs-supervised-learning.mp4 -
20.3 MB



     06_choosing-what-features-to-use.en.srt -
18.7 KB



     06_choosing-what-features-to-use.en.txt -
11.9 KB



     06_choosing-what-features-to-use.mp4 -
30.9 MB



     01_making-recommendations.en.srt -
7.2 KB



     01_making-recommendations.en.txt -
4.6 KB



     01_making-recommendations.mp4 -
20.4 MB



     02_using-per-item-features.en.srt -
12.6 KB



     02_using-per-item-features.en.txt -
7.8 KB



     02_using-per-item-features.mp4 -
23.5 MB



     03_collaborative-filtering-algorithm.en.srt -
18.8 KB



     03_collaborative-filtering-algorithm.en.txt -
10.0 KB



     03_collaborative-filtering-algorithm.mp4 -
31.0 MB



     04_binary-labels-favs-likes-and-clicks.en.srt -
10.6 KB



     04_binary-labels-favs-likes-and-clicks.en.txt -
6.7 KB



     04_binary-labels-favs-likes-and-clicks.mp4 -
19.8 MB



     01_mean-normalization.en.srt -
10.7 KB



     01_mean-normalization.en.txt -
6.7 KB



     01_mean-normalization.mp4 -
18.9 MB



     02_tensorflow-implementation-of-collaborative-filtering.en.srt -
15.4 KB



     02_tensorflow-implementation-of-collaborative-filtering.en.txt -
9.6 KB



     02_tensorflow-implementation-of-collaborative-filtering.mp4 -
35.9 MB



     03_finding-related-items.en.srt -
10.2 KB



     03_finding-related-items.en.txt -
5.4 KB



     03_finding-related-items.mp4 -
16.6 MB



     01_collaborative-filtering-vs-content-based-filtering.en.srt -
14.3 KB



     01_collaborative-filtering-vs-content-based-filtering.en.txt -
7.4 KB



     01_collaborative-filtering-vs-content-based-filtering.mp4 -
20.0 MB



     02_deep-learning-for-content-based-filtering.en.srt -
14.2 KB



     02_deep-learning-for-content-based-filtering.en.txt -
7.4 KB



     02_deep-learning-for-content-based-filtering.mp4 -
24.3 MB



     03_recommending-from-a-large-catalogue.en.srt -
10.2 KB



     03_recommending-from-a-large-catalogue.en.txt -
6.4 KB



     03_recommending-from-a-large-catalogue.mp4 -
18.0 MB



     04_ethical-use-of-recommender-systems.en.srt -
16.9 KB



     04_ethical-use-of-recommender-systems.en.txt -
9.0 KB



     04_ethical-use-of-recommender-systems.mp4 -
24.8 MB



     05_tensorflow-implementation-of-content-based-filtering.en.srt -
7.3 KB



     05_tensorflow-implementation-of-content-based-filtering.en.txt -
3.9 KB



     05_tensorflow-implementation-of-content-based-filtering.mp4 -
12.9 MB



     01_reducing-the-number-of-features-optional.en.srt -
18.1 KB



     01_reducing-the-number-of-features-optional.en.txt -
9.4 KB



     01_reducing-the-number-of-features-optional.mp4 -
26.7 MB



     02_pca-algorithm-optional.en.srt -
24.4 KB



     02_pca-algorithm-optional.en.txt -
12.8 KB



     02_pca-algorithm-optional.mp4 -
28.0 MB



     03_pca-in-code-optional.en.srt -
16.7 KB



     03_pca-in-code-optional.en.txt -
8.6 KB



     03_pca-in-code-optional.mp4 -
17.8 MB



     01_what-is-reinforcement-learning.en.srt -
12.5 KB



     01_what-is-reinforcement-learning.en.txt -
8.0 KB



     01_what-is-reinforcement-learning.mp4 -
31.0 MB



     02_mars-rover-example.en.srt -
10.3 KB



     02_mars-rover-example.en.txt -
5.3 KB



     02_mars-rover-example.mp4 -
12.7 MB



     03_the-return-in-reinforcement-learning.en.srt -
15.7 KB



     03_the-return-in-reinforcement-learning.en.txt -
8.2 KB



     03_the-return-in-reinforcement-learning.mp4 -
29.0 MB



     04_making-decisions-policies-in-reinforcement-learning.en.srt -
3.7 KB



     04_making-decisions-policies-in-reinforcement-learning.en.txt -
2.0 KB



     04_making-decisions-policies-in-reinforcement-learning.mp4 -
5.8 MB



     05_review-of-key-concepts.en.srt -
8.5 KB



     05_review-of-key-concepts.en.txt -
4.5 KB



     05_review-of-key-concepts.mp4 -
11.4 MB



     01_state-action-value-function-definition.en.srt -
13.5 KB



     01_state-action-value-function-definition.en.txt -
8.3 KB



     01_state-action-value-function-definition.mp4 -
19.8 MB



     02_state-action-value-function-example.en.srt -
6.8 KB



     02_state-action-value-function-example.en.txt -
4.3 KB



     02_state-action-value-function-example.mp4 -
14.6 MB



     03_bellman-equation.en.srt -
17.7 KB



     03_bellman-equation.en.txt -
9.2 KB



     03_bellman-equation.mp4 -
26.7 MB



     04_random-stochastic-environment-optional.en.srt -
13.1 KB



     04_random-stochastic-environment-optional.en.txt -
6.9 KB



     04_random-stochastic-environment-optional.mp4 -
19.3 MB



     01_example-of-continuous-state-space-applications.en.srt -
9.7 KB



     01_example-of-continuous-state-space-applications.en.txt -
5.0 KB



     01_example-of-continuous-state-space-applications.mp4 -
27.0 MB



     02_lunar-lander.en.srt -
7.8 KB



     02_lunar-lander.en.txt -
4.9 KB



     02_lunar-lander.mp4 -
10.4 MB



     03_learning-the-state-value-function.en.srt -
25.2 KB



     03_learning-the-state-value-function.en.txt -
12.9 KB



     03_learning-the-state-value-function.mp4 -
31.1 MB



     04_algorithm-refinement-improved-neural-network-architecture.en.srt -
4.7 KB



     04_algorithm-refinement-improved-neural-network-architecture.en.txt -
2.5 KB



     04_algorithm-refinement-improved-neural-network-architecture.mp4 -
7.8 MB



     05_algorithm-refinement-greedy-policy.en.srt -
14.2 KB



     05_algorithm-refinement-greedy-policy.en.txt -
7.5 KB



     05_algorithm-refinement-greedy-policy.mp4 -
25.3 MB



     06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.srt -
17.7 KB



     06_algorithm-refinement-mini-batch-and-soft-updates-optional.en.txt -
9.4 KB



     06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4 -
25.6 MB



     07_the-state-of-reinforcement-learning.en.srt -
4.0 KB



     07_the-state-of-reinforcement-learning.en.txt -
2.6 KB



     07_the-state-of-reinforcement-learning.mp4 -
7.9 MB



     01_summary-and-thank-you.en.srt -
5.3 KB



     01_summary-and-thank-you.en.txt -
2.8 KB



     01_summary-and-thank-you.mp4 -
13.9 MB



     01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.srt -
50.6 KB



     01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.en.txt -
31.7 KB



     01_andrew-ng-and-chelsea-finn-on-ai-and-robotics.mp4 -
230.7 MB



     01_acknowledgments_instructions.html -
5.3 KB



     02_optional-opportunity-to-mentor-other-learners_instructions.html -
1.7 KB


Related torrents

Torrent Name Added Size Seed Leech Health
2024-05-03 1.4 GB 49 37
2024-04-03 3.5 GB 139 13
2023-09-28 1.2 GB 13 3
2023-07-06 3.5 GB 26 6
2023-06-24 1.9 GB 12 2
2023-06-24 2.8 GB 1 2
2023-06-02 1.8 GB 9 3
2023-10-23 553.0 MB 0 0
2023-06-02 881.1 MB 4 8
2023-10-22 4.0 GB 11 3

Note :

Feel free to post any comments about this torrent, including links to Subtitle, samples, screenshots, or any other relevant information. Watch Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb Full Movie Online Free, Like 123Movies, FMovies, Putlocker, Netflix or Direct Download Torrent Coursera Machine Learning Specialization by DeepLearning AI DevCourseWeb via Magnet Download Link.

Comments (0 Comments)




Please login or create a FREE account to post comments