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【影视】 6.041 Probabilistic Systems Analysis and Applied Probability - MIT

收录时间:2020-02-12 文档个数:138 文档大小:5.7 GB 最近下载:2024-07-08 人气:190 磁力链接

11. Derived Distributions (ctd.); Covariance.mp4 318.8 MB
18. Markov Chains III.mp4 317.7 MB
7. Discrete Random Variables III.mp4 314.1 MB
20. Central Limit Theorem.mp4 313.6 MB
13. Bernoulli Process.mp4 312.4 MB
9. Multiple Continuous Random Variables.mp4 310.2 MB
17. Markov Chains II.mp4 307.7 MB
5. Discrete Random Variables I.mp4 306.8 MB
8. Continuous Random Variables.mp4 305.1 MB
10. Continuous Bayes' Rule; Derived Distributions.mp4 300.7 MB
12. Iterated Expectations.mp4 298.7 MB
15. Poisson Process II.mp4 292.9 MB
16. Markov Chains I.mp4 266.4 MB
14. Poisson Process I.mp4 265.8 MB
6. Discrete Random Variables II.mp4 261.8 MB
2. Conditioning and Bayes' Rule.mp4 257.1 MB
4. Counting.mp4 256.6 MB
19. Weak Law of Large Numbers.mp4 251.2 MB
3. Independence.mp4 237.7 MB
1. Probability Models and Axioms.mp4 186.5 MB

猜你喜欢： Applied Probability 6.041 Analysis Systems Probabilistic MIT

【影视】 Coursera - Probabilistic Graphical Models

收录时间:2020-03-04 文档个数:547 文档大小:1.5 GB 最近下载:2024-10-08 人气:9104 磁力链接

Lectures/Week 7 - 19 Learning- Parameter Estimation in MNs/01_Maximum_Likelihood_for_Log-Linear_Models_28-47.mp4 36.3 MB
Lectures/Week 9 - 23 Summary/01_Class_Summary_24-38.mp4 33.8 MB
Lectures/Week 6 - 15 Decision Theory/01_Maximum_Expected_Utility_25-57.mp4 30.4 MB
Lectures/Week 8 - 20 Structure Learning/06_Learning_General_Graphs-_Heuristic_Search_23-36.mp4 28.1 MB
Lectures/Week 9 - 21 Learning With Incomplete Data/05_Latent_Variables_22-00.mp4 28.0 MB
Lectures/Week 1 - 03 Template Models/02_Temporal_Models_-_DBNs_23-02.mp4 27.3 MB
Lectures/Week 2 - 06 Markov Network Fundamentals/06_Log-Linear_Models_22-08.mp4 27.0 MB
Lectures/Week 9 - 22 Learning- Wrapup/01_Summary-_Learning_20-11.mp4 26.9 MB
Lectures/Week 2 - 06 Markov Network Fundamentals/03_Conditional_Random_Fields_22-22.mp4 26.3 MB
Lectures/Week 9 - 21 Learning With Incomplete Data/01_Learning_With_Incomplete_Data_-_Overview_21-34.mp4 26.1 MB
Lectures/Week 3 - 07 Representation Wrapup-Knowledge Engineering/01_Knowledge_Engineering_23-05.mp4 25.8 MB
Lectures/Week 6 - 14 Inference- Temporal Models and Wrap-up/01_Inference_in_Temporal_Models_19-43.mp4 24.4 MB
Lectures/Week 1 - 01 Introduction and Overview/02_Overview_and_Motivation_19-17.mp4 24.1 MB
Lectures/Week 8 - 20 Structure Learning/04_Bayesian_Scores_20-35.mp4 23.7 MB
Lectures/Week 1 - 03 Template Models/04_Plate_Models_20-08.mp4 23.6 MB
Lectures/Week 2 - 06 Markov Network Fundamentals/05_I-maps_and_perfect_maps_20-59.mp4 23.5 MB
Lectures/Week 1 - 02 Bayesian Network Fundamentals/05_Independencies_in_Bayesian_Networks_18-18.mp4 22.6 MB
Lectures/Week 7 - 18 Learning- Parameter Estimation in BNs/05_Bayesian_Estimation_for_Bayesian_Networks_17-02.mp4 22.2 MB
Lectures/Week 1 - 04 ML-class Octave Tutorial/02_Moving_Data_Around_16-07.mp4 21.8 MB
Lectures/Week 6 - 15 Decision Theory/02_Utility_Functions_18-15.mp4 20.6 MB

猜你喜欢： Models Probabilistic Graphical Coursera

【影视】 Simpler Options - The Probabilistic Mindset

收录时间:2021-08-20 文档个数:8 文档大小:1.7 GB 最近下载:2024-10-10 人气:2484 磁力链接

Mark Douglas - 1 - Introduction to Trading Psychology.mp4 357.8 MB
Mark Douglas - 4 - Probabilities.mp4 307.1 MB
Mark Douglas - 3 - Objective State of Mind.mp4 292.1 MB
Mark Douglas - 7 - Retrain Your Brain.mp4 272.4 MB
Mark Douglas - 2 - Order Flow.mp4 190.1 MB
Mark Douglas - 5 - Emotional Response.mp4 153.5 MB
Mark Douglas - 6 - Probabilistic Principles.mp4 88.6 MB
Torrent_downloaded_from_Demonoid.is_ (1).txt 58 Bytes

猜你喜欢： Mindset Probabilistic Options Simpler

【影视】 [CourseClub.Me] Coursera – Probabilistic Graphical Models Specialization

收录时间:2021-12-03 文档个数:375 文档大小:2.0 GB 最近下载:2024-09-29 人气:837 磁力链接

Probabilistic Graphical Models 3 Learning/08_pgm-wrapup/01_summary/01_pgm-course-summary.mp4 49.3 MB
Probabilistic Graphical Models 3 Learning/04_learning-undirected-models/01_parameter-estimation-in-mns/01_maximum-likelihood-for-log-linear-models.mp4 49.1 MB
Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/05_metropolis-hastings-algorithm.mp4 40.1 MB
Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/05_latent-variables.mp4 39.9 MB
Probabilistic Graphical Models 1 Representation/06_decision-making/01_decision-theory/01_maximum-expected-utility.mp4 39.6 MB
Probabilistic Graphical Models 3 Learning/07_learning-summary-and-final/01_learning-wrapup/01_summary-learning.mp4 37.9 MB
Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/02_searching-over-structures/02_learning-general-graphs-heuristic-search.mp4 36.6 MB
Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/02_temporal-models-dbns.mp4 35.9 MB
Probabilistic Graphical Models 1 Representation/05_markov-networks-undirected-models/03_local-structure-in-markov-networks/01_log-linear-models.mp4 35.6 MB
Probabilistic Graphical Models 2 Inference/05_sampling-methods/01_sampling-methods/01_simple-sampling.mp4 35.2 MB
Probabilistic Graphical Models 3 Learning/06_learning-bns-with-incomplete-data/01_learning-with-incomplete-data/01_learning-with-incomplete-data-overview.mp4 34.6 MB
Probabilistic Graphical Models 1 Representation/05_markov-networks-undirected-models/01_markov-network-fundamentals/03_conditional-random-fields.mp4 34.6 MB
Probabilistic Graphical Models 1 Representation/01_introduction-and-overview/01_introduction-and-overview/02_overview-and-motivation.mp4 34.3 MB
Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/01_message-passing-in-cluster-graphs/01_belief-propagation-algorithm.mp4 33.9 MB
Probabilistic Graphical Models 2 Inference/06_inference-in-temporal-models/01_inference-in-temporal-models/01_inference-in-temporal-models.mp4 33.6 MB
Probabilistic Graphical Models 2 Inference/03_belief-propagation-algorithms/03_optional-loopy-belief-propagation/02_loopy-bp-and-message-decoding.mp4 33.1 MB
Probabilistic Graphical Models 1 Representation/07_knowledge-engineering-summary/01_knowledge-engineering-conclusion/01_knowledge-engineering.mp4 31.5 MB
Probabilistic Graphical Models 1 Representation/03_template-models-for-bayesian-networks/01_template-models/04_plate-models.mp4 30.6 MB
Probabilistic Graphical Models 3 Learning/05_learning-bn-structure/01_structure-learning-overview-and-scoring-functions/04_bayesian-scores.mp4 30.1 MB
Probabilistic Graphical Models 2 Inference/04_map-algorithms/01_map-message-passing/01_max-sum-message-passing.mp4 29.5 MB

猜你喜欢： Me Graphical CourseClub Models Coursera Probabilistic Specialization

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