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[CourseClub.Me] Coursera – Machine Learning Specialization (Andrew Ng)
magnet:?xt=urn:btih:f21f150ca73d438711efdff54368d16939d79d1d&dn=[CourseClub.Me] Coursera – Machine Learning Specialization (Andrew Ng)
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f21f150ca73d438711efdff54368d16939d79d1d
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136
文件数量
1.47 GB
文件大小
2023-3-13 21:43
创建日期
2024-6-18 00:35
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相关分词
CourseClub
Me
Coursera
–
Machine
Learning
Specialization
Andrew
Ng
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/01_overview-of-machine-learning/01_welcome-to-machine-learning.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/01_overview-of-machine-learning/02_applications-of-machine-learning.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/01_linear-regression-model-part-1.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/02_linear-regression-model-part-2.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/03_cost-function-formula.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/04_cost-function-intuition.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/05_visualizing-the-cost-function.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/06_visualization-examples.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/01_gradient-descent.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/02_implementing-gradient-descent.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/03_gradient-descent-intuition.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/04_learning-rate.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/05_gradient-descent-for-linear-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/04_train-the-model-with-gradient-descent/06_running-gradient-descent.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/01_multiple-features.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/02_vectorization-part-1.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/03_vectorization-part-2.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/04_gradient-descent-for-multiple-linear-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/01_feature-scaling-part-1.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/02_feature-scaling-part-2.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/03_checking-gradient-descent-for-convergence.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/04_choosing-the-learning-rate.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/05_feature-engineering.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/06_polynomial-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/01_motivations.mp4 20.96 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/02_logistic-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/03_decision-boundary.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/02_cost-function-for-logistic-regression/01_cost-function-for-logistic-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/02_cost-function-for-logistic-regression/02_simplified-cost-function-for-logistic-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/03_gradient-descent-for-logistic-regression/01_gradient-descent-implementation.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/01_the-problem-of-overfitting.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/02_addressing-overfitting.mp4 15.73 MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/03_cost-function-with-regularization.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/04_regularized-linear-regression.mp4 0 字节
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/05_regularized-logistic-regression.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/01_welcome-to-the-course/01_welcome.mp4 8.48 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/01_what-is-clustering.mp4 8.82 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/02_k-means-intuition.mp4 12.36 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/03_k-means-algorithm.mp4 19.76 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/04_optimization-objective.mp4 29.51 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/05_initializing-k-means.mp4 17.84 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/06_choosing-the-number-of-clusters.mp4 17.89 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/01_finding-unusual-events.mp4 25.71 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/02_gaussian-normal-distribution.mp4 20.6 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/03_anomaly-detection-algorithm.mp4 21.53 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/04_developing-and-evaluating-an-anomaly-detection-system.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/05_anomaly-detection-vs-supervised-learning.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/06_choosing-what-features-to-use.mp4 31.93 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/01_making-recommendations.mp4 20.44 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/02_using-per-item-features.mp4 23.69 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/03_collaborative-filtering-algorithm.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/04_binary-labels-favs-likes-and-clicks.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/03_recommender-systems-implementation-detail/01_mean-normalization.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/03_recommender-systems-implementation-detail/02_tensorflow-implementation-of-collaborative-filtering.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/03_recommender-systems-implementation-detail/03_finding-related-items.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/01_collaborative-filtering-vs-content-based-filtering.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/02_deep-learning-for-content-based-filtering.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/03_recommending-from-a-large-catalogue.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/04_ethical-use-of-recommender-systems.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/05_tensorflow-implementation-of-content-based-filtering.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/01_what-is-reinforcement-learning.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/02_mars-rover-example.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/03_the-return-in-reinforcement-learning.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/04_making-decisions-policies-in-reinforcement-learning.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/05_review-of-key-concepts.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/01_state-action-value-function-definition.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/02_state-action-value-function-example.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/03_bellman-equations.mp4 26.66 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/04_random-stochastic-environment-optional.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/01_example-of-continuous-state-space-applications.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/02_lunar-lander.mp4 10.1 MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/03_learning-the-state-value-function.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/04_algorithm-refinement-improved-neural-network-architecture.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/05_algorithm-refinement-greedy-policy.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/07_the-state-of-reinforcement-learning.mp4 0 字节
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/07_summary-and-thank-you/01_summary-and-thank-you.mp4 13.94 MB
Coursera -/01_neural-networks/01_neural-networks-intuition/01_welcome.mp4 10.64 MB
Coursera -/01_neural-networks/01_neural-networks-intuition/02_neurons-and-the-brain.mp4 26.86 MB
Coursera -/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.mp4 29.48 MB
Coursera -/01_neural-networks/01_neural-networks-intuition/04_example-recognizing-images.mp4 14.49 MB
Coursera -/01_neural-networks/02_neural-network-model/01_neural-network-layer.mp4 20.44 MB
Coursera -/01_neural-networks/02_neural-network-model/02_more-complex-neural-networks.mp4 15.64 MB
Coursera -/01_neural-networks/02_neural-network-model/03_inference-making-predictions-forward-propagation.mp4 12.55 MB
Coursera -/01_neural-networks/03_tensorflow-implementation/01_inference-in-code.mp4 17.51 MB
Coursera -/01_neural-networks/03_tensorflow-implementation/02_data-in-tensorflow.mp4 24.92 MB
Coursera -/01_neural-networks/03_tensorflow-implementation/03_building-a-neural-network.mp4 24.34 MB
Coursera -/01_neural-networks/04_neural-network-implementation-in-python/01_forward-prop-in-a-single-layer.mp4 12.4 MB
Coursera -/01_neural-networks/04_neural-network-implementation-in-python/02_general-implementation-of-forward-propagation.mp4 19.75 MB
Coursera -/01_neural-networks/05_speculations-on-artificial-general-intelligence-agi/01_is-there-a-path-to-agi.mp4 28.09 MB
Coursera -/01_neural-networks/06_vectorization-optional/01_how-neural-networks-are-implemented-efficiently.mp4 13.79 MB
Coursera -/01_neural-networks/06_vectorization-optional/02_matrix-multiplication.mp4 15.85 MB
Coursera -/01_neural-networks/06_vectorization-optional/03_matrix-multiplication-rules.mp4 18.46 MB
Coursera -/01_neural-networks/06_vectorization-optional/04_matrix-multiplication-code.mp4 13.84 MB
Coursera -/02_neural-network-training/01_neural-network-training/01_tensorflow-implementation.mp4 11.48 MB
Coursera -/02_neural-network-training/01_neural-network-training/02_training-details.mp4 24.58 MB
Coursera -/02_neural-network-training/02_activation-functions/01_alternatives-to-the-sigmoid-activation.mp4 11.96 MB
Coursera -/02_neural-network-training/02_activation-functions/02_choosing-activation-functions.mp4 23.39 MB
Coursera -/02_neural-network-training/02_activation-functions/03_why-do-we-need-activation-functions.mp4 12.88 MB
Coursera -/02_neural-network-training/03_multiclass-classification/01_multiclass.mp4 8.37 MB
Coursera -/02_neural-network-training/03_multiclass-classification/02_softmax.mp4 20.68 MB
Coursera -/02_neural-network-training/03_multiclass-classification/03_neural-network-with-softmax-output.mp4 15.02 MB
Coursera -/02_neural-network-training/03_multiclass-classification/04_improved-implementation-of-softmax.mp4 17.92 MB
Coursera -/02_neural-network-training/03_multiclass-classification/05_classification-with-multiple-outputs-optional.mp4 12.87 MB
Coursera -/02_neural-network-training/04_additional-neural-network-concepts/01_advanced-optimization.mp4 15.35 MB
Coursera -/02_neural-network-training/04_additional-neural-network-concepts/02_additional-layer-types.mp4 22.09 MB
Coursera -/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/01_deciding-what-to-try-next.mp4 12.91 MB
Coursera -/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/02_evaluating-a-model.mp4 23.62 MB
Coursera -/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/03_model-selection-and-training-cross-validation-test-sets.mp4 32.61 MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/01_diagnosing-bias-and-variance.mp4 24.13 MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/02_regularization-and-bias-variance.mp4 25.22 MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/03_establishing-a-baseline-level-of-performance.mp4 21.86 MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/04_learning-curves.mp4 28.07 MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/05_deciding-what-to-try-next-revisited.mp4 28.02 MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/06_bias-variance-and-neural-networks.mp4 26.94 MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/01_iterative-loop-of-ml-development.mp4 14.81 MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/02_error-analysis.mp4 17.51 MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/03_adding-data.mp4 32.71 MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/04_transfer-learning-using-data-from-a-different-task.mp4 23.75 MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/05_full-cycle-of-a-machine-learning-project.mp4 16.35 MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/06_fairness-bias-and-ethics.mp4 25.35 MB
Coursera -/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/01_error-metrics-for-skewed-datasets.mp4 22.63 MB
Coursera -/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/02_trading-off-precision-and-recall.mp4 26.58 MB
Coursera -/04_decision-trees/01_decision-trees/01_decision-tree-model.mp4 14.71 MB
Coursera -/04_decision-trees/01_decision-trees/02_learning-process.mp4 29.03 MB
Coursera -/04_decision-trees/02_decision-tree-learning/01_measuring-purity.mp4 19.02 MB
Coursera -/04_decision-trees/02_decision-tree-learning/02_choosing-a-split-information-gain.mp4 23.26 MB
Coursera -/04_decision-trees/02_decision-tree-learning/03_putting-it-together.mp4 19.37 MB
Coursera -/04_decision-trees/02_decision-tree-learning/04_using-one-hot-encoding-of-categorical-features.mp4 14.17 MB
Coursera -/04_decision-trees/02_decision-tree-learning/05_continuous-valued-features.mp4 15.89 MB
Coursera -/04_decision-trees/02_decision-tree-learning/06_regression-trees-optional.mp4 18.9 MB
Coursera -/04_decision-trees/03_tree-ensembles/01_using-multiple-decision-trees.mp4 12.51 MB
Coursera -/04_decision-trees/03_tree-ensembles/02_sampling-with-replacement.mp4 14.33 MB
Coursera -/04_decision-trees/03_tree-ensembles/03_random-forest-algorithm.mp4 15.31 MB
Coursera -/04_decision-trees/03_tree-ensembles/04_xgboost.mp4 22.74 MB
Coursera -/04_decision-trees/03_tree-ensembles/05_when-to-use-decision-trees.mp4 19.4 MB
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