[CourseClub.Me] Coursera – Machine Learning Specialization (Andrew Ng)

• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/03_adding-data.mp4-32.71 MB
• 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/03_collaborative-filtering-algorithm.mp4-31.03 MB
• Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/04_cost-function-intuition.mp4-29.56 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/04_optimization-objective.mp4-29.51 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.mp4-29.48 MB
• Coursera - Advanced Learning Algorithms/04_decision-trees/01_decision-trees/02_learning-process.mp4-29.03 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/05_speculations-on-artificial-general-intelligence-agi/01_is-there-a-path-to-agi.mp4-28.09 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/04_learning-curves.mp4-28.07 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/05_deciding-what-to-try-next-revisited.mp4-28.02 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/06_bias-variance-and-neural-networks.mp4-26.94 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/01_neural-networks-intuition/02_neurons-and-the-brain.mp4-26.86 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/03_bellman-equations.mp4-26.66 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/02_trading-off-precision-and-recall.mp4-26.58 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/01_finding-unusual-events.mp4-25.71 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/06_fairness-bias-and-ethics.mp4-25.35 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/02_regularization-and-bias-variance.mp4-25.22 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/03_tensorflow-implementation/02_data-in-tensorflow.mp4-24.83 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/04_ethical-use-of-recommender-systems.mp4-24.83 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/03_tensorflow-implementation/03_building-a-neural-network.mp4-24.4 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/01_diagnosing-bias-and-variance.mp4-24.13 MB
• Coursera - Advanced Learning Algorithms/02_neural-network-training/01_neural-network-training/02_training-details.mp4-24.08 MB
• Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/01_the-problem-of-overfitting.mp4-23.97 MB
• Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/02_choosing-a-split-information-gain.mp4-23.77 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/02_using-per-item-features.mp4-23.69 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/02_evaluating-a-model.mp4-23.62 MB
• Coursera - Advanced Learning Algorithms/02_neural-network-training/02_activation-functions/02_choosing-activation-functions.mp4-23.39 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/01_error-metrics-for-skewed-datasets.mp4-22.63 MB
• Coursera - Advanced Learning Algorithms/02_neural-network-training/04_additional-neural-network-concepts/02_additional-layer-types.mp4-22.09 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/02_bias-and-variance/03_establishing-a-baseline-level-of-performance.mp4-21.86 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/03_anomaly-detection-algorithm.mp4-21.53 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/04_neural-network-implementation-in-python/02_general-implementation-of-forward-propagation.mp4-21.33 MB
• Coursera - Advanced Learning Algorithms/04_decision-trees/03_tree-ensembles/04_xgboost.mp4-21.08 MB
• 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/04_the-problem-of-overfitting/05_regularized-logistic-regression.mp4-20.81 MB
• Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/02_softmax.mp4-20.69 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/02_recommender-systems/01_collaborative-filtering/01_making-recommendations.mp4-20.44 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/02_neural-network-model/01_neural-network-layer.mp4-20.43 MB
• Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/04_regularized-linear-regression.mp4-19.81 MB
• Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/03_k-means-algorithm.mp4-19.76 MB
• Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/03_decision-boundary.mp4-18.94 MB
• Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/06_regression-trees-optional.mp4-18.9 MB
• Coursera - Advanced Learning Algorithms/01_neural-networks/06_vectorization-optional/03_matrix-multiplication-rules.mp4-18.51 MB
• Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/03_putting-it-together.mp4-18.41 MB
• Coursera - Advanced Learning Algorithms/04_decision-trees/02_decision-tree-learning/01_measuring-purity.mp4-18.14 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/02_clustering/05_initializing-k-means.mp4-17.84 MB
• Coursera - Advanced Learning Algorithms/02_neural-network-training/03_multiclass-classification/04_improved-implementation-of-softmax.mp4-17.82 MB
• Coursera - Advanced Learning Algorithms/03_advice-for-applying-machine-learning/03_machine-learning-development-process/02_error-analysis.mp4-17.51 MB