首页
磁力链接怎么用
한국어
English
日本語
简体中文
繁體中文
[CourseClub.Me] Coursera – Machine Learning Specialization (Andrew Ng)
文件类型
收录时间
最后活跃
资源热度
文件大小
文件数量
视频
2023-3-13 21:43
2024-8-24 14:14
190
1.47 GB
136
磁力链接
magnet:?xt=urn:btih:f21f150ca73d438711efdff54368d16939d79d1d
迅雷链接
thunder://QUFtYWduZXQ6P3h0PXVybjpidGloOmYyMWYxNTBjYTczZDQzODcxMWVmZGZmNTQzNjhkMTY5MzlkNzlkMWRaWg==
二维码链接
种子下载(838888不存储任何种子文件)
种子下载线路1(迅雷)--推荐
种子下载线路2(比特彗星)
种子下载线路3(torcache)
3条线路均为国内外知名下载网站种子链接,内容跟本站无关!
相关链接
CourseClub
Me
Coursera
–
Machine
Learning
Specialization
Andrew
Ng
文件列表
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
0B
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
0B
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/01_linear-regression-model-part-1.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/02_linear-regression-model-part-2.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/03_cost-function-formula.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/04_cost-function-intuition.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/05_visualizing-the-cost-function.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/01_week-1-introduction-to-machine-learning/03_regression-model/06_visualization-examples.mp4
0B
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
0B
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
0B
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
0B
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
0B
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
0B
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
0B
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/01_multiple-features.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/02_vectorization-part-1.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/01_multiple-linear-regression/03_vectorization-part-2.mp4
0B
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
0B
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
0B
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
0B
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
0B
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
0B
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/05_feature-engineering.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/02_week-2-regression-with-multiple-input-variables/02_gradient-descent-in-practice/06_polynomial-regression.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/01_motivations.mp4
20.96MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/02_logistic-regression.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/01_classification-with-logistic-regression/03_decision-boundary.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/02_cost-function-for-logistic-regression/01_cost-function-for-logistic-regression.mp4
0B
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
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/03_gradient-descent-for-logistic-regression/01_gradient-descent-implementation.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/01_the-problem-of-overfitting.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/02_addressing-overfitting.mp4
15.73MB
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/03_cost-function-with-regularization.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/04_regularized-linear-regression.mp4
0B
Coursera - Supervised Machine Learning Regression and Classification/03_week-3-classification/04_the-problem-of-overfitting/05_regularized-logistic-regression.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/01_welcome-to-the-course/01_welcome.mp4
8.48MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/01_what-is-clustering.mp4
8.82MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/02_k-means-intuition.mp4
12.36MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/03_k-means-algorithm.mp4
19.76MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/04_optimization-objective.mp4
29.51MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/05_initializing-k-means.mp4
17.84MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/02_clustering/06_choosing-the-number-of-clusters.mp4
17.89MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/01_finding-unusual-events.mp4
25.71MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/02_gaussian-normal-distribution.mp4
20.6MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/03_anomaly-detection-algorithm.mp4
21.53MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/04_developing-and-evaluating-an-anomaly-detection-system.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/05_anomaly-detection-vs-supervised-learning.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/01_unsupervised-learning/04_anomaly-detection/06_choosing-what-features-to-use.mp4
31.93MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/01_making-recommendations.mp4
20.44MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/02_using-per-item-features.mp4
23.69MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/03_collaborative-filtering-algorithm.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/01_collaborative-filtering/04_binary-labels-favs-likes-and-clicks.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/03_recommender-systems-implementation-detail/01_mean-normalization.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/03_recommender-systems-implementation-detail/02_tensorflow-implementation-of-collaborative-filtering.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/03_recommender-systems-implementation-detail/03_finding-related-items.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/01_collaborative-filtering-vs-content-based-filtering.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/02_deep-learning-for-content-based-filtering.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/03_recommending-from-a-large-catalogue.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/04_ethical-use-of-recommender-systems.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/02_recommender-systems/05_content-based-filtering/05_tensorflow-implementation-of-content-based-filtering.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/01_what-is-reinforcement-learning.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/02_mars-rover-example.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/03_the-return-in-reinforcement-learning.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/04_making-decisions-policies-in-reinforcement-learning.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/01_reinforcement-learning-introduction/05_review-of-key-concepts.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/01_state-action-value-function-definition.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/02_state-action-value-function-example.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/03_bellman-equations.mp4
26.66MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/03_state-action-value-function/04_random-stochastic-environment-optional.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/01_example-of-continuous-state-space-applications.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/02_lunar-lander.mp4
10.1MB
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/03_learning-the-state-value-function.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/04_algorithm-refinement-improved-neural-network-architecture.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/05_algorithm-refinement-greedy-policy.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/06_algorithm-refinement-mini-batch-and-soft-updates-optional.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/05_continuous-state-spaces/07_the-state-of-reinforcement-learning.mp4
0B
Coursera - Unsupervised Learning, Recommenders, Reinforcement Learning/03_reinforcement-learning/07_summary-and-thank-you/01_summary-and-thank-you.mp4
13.94MB
Coursera -/01_neural-networks/01_neural-networks-intuition/01_welcome.mp4
10.64MB
Coursera -/01_neural-networks/01_neural-networks-intuition/02_neurons-and-the-brain.mp4
26.86MB
Coursera -/01_neural-networks/01_neural-networks-intuition/03_demand-prediction.mp4
29.48MB
Coursera -/01_neural-networks/01_neural-networks-intuition/04_example-recognizing-images.mp4
14.49MB
Coursera -/01_neural-networks/02_neural-network-model/01_neural-network-layer.mp4
20.44MB
Coursera -/01_neural-networks/02_neural-network-model/02_more-complex-neural-networks.mp4
15.64MB
Coursera -/01_neural-networks/02_neural-network-model/03_inference-making-predictions-forward-propagation.mp4
12.55MB
Coursera -/01_neural-networks/03_tensorflow-implementation/01_inference-in-code.mp4
17.51MB
Coursera -/01_neural-networks/03_tensorflow-implementation/02_data-in-tensorflow.mp4
24.92MB
Coursera -/01_neural-networks/03_tensorflow-implementation/03_building-a-neural-network.mp4
24.34MB
Coursera -/01_neural-networks/04_neural-network-implementation-in-python/01_forward-prop-in-a-single-layer.mp4
12.4MB
Coursera -/01_neural-networks/04_neural-network-implementation-in-python/02_general-implementation-of-forward-propagation.mp4
19.75MB
Coursera -/01_neural-networks/05_speculations-on-artificial-general-intelligence-agi/01_is-there-a-path-to-agi.mp4
28.09MB
Coursera -/01_neural-networks/06_vectorization-optional/01_how-neural-networks-are-implemented-efficiently.mp4
13.79MB
Coursera -/01_neural-networks/06_vectorization-optional/02_matrix-multiplication.mp4
15.85MB
Coursera -/01_neural-networks/06_vectorization-optional/03_matrix-multiplication-rules.mp4
18.46MB
Coursera -/01_neural-networks/06_vectorization-optional/04_matrix-multiplication-code.mp4
13.84MB
Coursera -/02_neural-network-training/01_neural-network-training/01_tensorflow-implementation.mp4
11.48MB
Coursera -/02_neural-network-training/01_neural-network-training/02_training-details.mp4
24.58MB
Coursera -/02_neural-network-training/02_activation-functions/01_alternatives-to-the-sigmoid-activation.mp4
11.96MB
Coursera -/02_neural-network-training/02_activation-functions/02_choosing-activation-functions.mp4
23.39MB
Coursera -/02_neural-network-training/02_activation-functions/03_why-do-we-need-activation-functions.mp4
12.88MB
Coursera -/02_neural-network-training/03_multiclass-classification/01_multiclass.mp4
8.37MB
Coursera -/02_neural-network-training/03_multiclass-classification/02_softmax.mp4
20.68MB
Coursera -/02_neural-network-training/03_multiclass-classification/03_neural-network-with-softmax-output.mp4
15.02MB
Coursera -/02_neural-network-training/03_multiclass-classification/04_improved-implementation-of-softmax.mp4
17.92MB
Coursera -/02_neural-network-training/03_multiclass-classification/05_classification-with-multiple-outputs-optional.mp4
12.87MB
Coursera -/02_neural-network-training/04_additional-neural-network-concepts/01_advanced-optimization.mp4
15.35MB
Coursera -/02_neural-network-training/04_additional-neural-network-concepts/02_additional-layer-types.mp4
22.09MB
Coursera -/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/01_deciding-what-to-try-next.mp4
12.91MB
Coursera -/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/02_evaluating-a-model.mp4
23.62MB
Coursera -/03_advice-for-applying-machine-learning/01_advice-for-applying-machine-learning/03_model-selection-and-training-cross-validation-test-sets.mp4
32.61MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/01_diagnosing-bias-and-variance.mp4
24.13MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/02_regularization-and-bias-variance.mp4
25.22MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/03_establishing-a-baseline-level-of-performance.mp4
21.86MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/04_learning-curves.mp4
28.07MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/05_deciding-what-to-try-next-revisited.mp4
28.02MB
Coursera -/03_advice-for-applying-machine-learning/02_bias-and-variance/06_bias-variance-and-neural-networks.mp4
26.94MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/01_iterative-loop-of-ml-development.mp4
14.81MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/02_error-analysis.mp4
17.51MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/03_adding-data.mp4
32.71MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/04_transfer-learning-using-data-from-a-different-task.mp4
23.75MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/05_full-cycle-of-a-machine-learning-project.mp4
16.35MB
Coursera -/03_advice-for-applying-machine-learning/03_machine-learning-development-process/06_fairness-bias-and-ethics.mp4
25.35MB
Coursera -/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/01_error-metrics-for-skewed-datasets.mp4
22.63MB
Coursera -/03_advice-for-applying-machine-learning/04_skewed-datasets-optional/02_trading-off-precision-and-recall.mp4
26.58MB
Coursera -/04_decision-trees/01_decision-trees/01_decision-tree-model.mp4
14.71MB
Coursera -/04_decision-trees/01_decision-trees/02_learning-process.mp4
29.03MB
Coursera -/04_decision-trees/02_decision-tree-learning/01_measuring-purity.mp4
19.02MB
Coursera -/04_decision-trees/02_decision-tree-learning/02_choosing-a-split-information-gain.mp4
23.26MB
Coursera -/04_decision-trees/02_decision-tree-learning/03_putting-it-together.mp4
19.37MB
Coursera -/04_decision-trees/02_decision-tree-learning/04_using-one-hot-encoding-of-categorical-features.mp4
14.17MB
Coursera -/04_decision-trees/02_decision-tree-learning/05_continuous-valued-features.mp4
15.89MB
Coursera -/04_decision-trees/02_decision-tree-learning/06_regression-trees-optional.mp4
18.9MB
Coursera -/04_decision-trees/03_tree-ensembles/01_using-multiple-decision-trees.mp4
12.51MB
Coursera -/04_decision-trees/03_tree-ensembles/02_sampling-with-replacement.mp4
14.33MB
Coursera -/04_decision-trees/03_tree-ensembles/03_random-forest-algorithm.mp4
15.31MB
Coursera -/04_decision-trees/03_tree-ensembles/04_xgboost.mp4
22.74MB
Coursera -/04_decision-trees/03_tree-ensembles/05_when-to-use-decision-trees.mp4
19.4MB
友情提示
不会用的朋友看这里 把磁力链接复制到离线下载,或者bt下载软件里即可下载文件,或者直接复制迅雷链接到迅雷里下载! 亲,你造吗?将网页分享给您的基友,下载的人越多速度越快哦!
违规内容投诉邮箱:
[email protected]
概述 838888磁力搜索是一个磁力链接搜索引擎,是学术研究的副产品,用于解决资源过度分散的问题 它通过BitTorrent协议加入DHT网络,实时的自动采集数据,仅存储文件的标题、大小、文件列表、文件标识符(磁力链接)等基础信息 838888磁力搜索不下载任何真实资源,无法判断资源的合法性及真实性,使用838888磁力搜索服务的用户需自行鉴别内容的真伪 838888磁力搜索不上传任何资源,不提供Tracker服务,不提供种子文件的下载,这意味着838888磁力搜索 838888磁力搜索是一个完全合法的系统