[CourseClub.ME] Udacity - Machine Learning Engineer Nanodegree v2.0.0

Part 02-Module 04-Lesson 02_Deep Q-Learning/07. Experience Replay-wX_-SZG-YMQ.mp4

Part 02-Module 04-Lesson 03_Policy-Based Methods/07. M2L3 07 V2-ZBLLGIN1EfU.mp4

Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/19. MLND - Unsupervised Learning - L3 20 Internal Validation Indices MAIN V1 V2-39JruOTptKI.mp4

Part 02-Module 04-Lesson 02_Deep Q-Learning/10. DQN Improvements-Zfdbp93A2GU.mp4

Part 02-Module 03-Lesson 05_Monte Carlo Methods/03. MC Prediction State Values-0q2wSWyuBj8.mp4

Part 02-Module 04-Lesson 01_RL in Continuous Spaces/01. Deep Reinforcement Learning-GPjK124RU5g.mp4

Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/09. MLND - Unsupervised Learning - L3 09 Expectation Maximization Pt 1 V1 MAIN 1 V2-cf-RLKn5ubA.mp4

Part 02-Module 06-Lesson 02_Take 30 Min to Improve your LinkedIn/02. Meet Chris-0ccflD9x5WU.mp4

Part 02-Module 04-Lesson 03_Policy-Based Methods/02. M2L3 02 V2-ToS8vXGdODE.mp4

Part 01-Module 13-Lesson 01_PCA/31. Eigenfaces Code-LgLYw-G4sLQ.mp4

Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/14. MLND - Unsupervised Learning - L3 15 GMM Examples And Applications MAIN V2 V1-FRoxeLp81Bg.mp4

Part 02-Module 03-Lesson 04_Dynamic Programming/14. Policy Improvement-4_adUEK0IHg.mp4

Part 02-Module 03-Lesson 06_Temporal-Difference Methods/03. TD Prediction TD(0)-CsD6b0csU7o.mp4

Part 02-Module 04-Lesson 01_RL in Continuous Spaces/11. Linear Function Approximation-OJ5wrB7o-pI.mp4

Part 02-Module 03-Lesson 04_Dynamic Programming/05. An Iterative Method-AX-hG3KvwzY.mp4

Part 01-Module 01-Lesson 01_Welcome to Machine Learning/01. 01 Boas-vindas ao programa IntroduçãoMLND V3-A8AnsR6e75I.mp4

Part 01-Module 10-Lesson 05_Support Vector Machines/13. SVM 11 Polynomial Kernel 3 V1-XmbK8OjbX5U.mp4

Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/10. MLND - Unsupervised Learning - L3 10 Expectation Maximization Pt 2 MAIN V1 V2-B_xXd0mFUm4.mp4

Part 02-Module 04-Lesson 02_Deep Q-Learning/06. Deep Q Network-GgtR_d1OB-M.mp4

Part 02-Module 06-Lesson 01_Optimize Your GitHub Profile/14. Interview with Art - Part 3-M6PKr3S1rPg.mp4

Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/04. MLND - Unsupervised Learning - L2 04 Examining SingleLink Clustering MAIN V1 V2-foLcmCOLDos.mp4

Part 01-Module 11-Lesson 01_Clustering/13. Sklearn-3zHUAXcoZ7c.mp4

Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/17. MLND - Unsupervised Learning - L3 18 External Validation Indices MAIN V1 V2-rXZM5X2-5D0.mp4

Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/05. MLND - Unsupervised Learning - L2 05 CompleteLink AverageLink Ward MAIN V1 V2-dWGQVcZ95d0.mp4

Part 02-Module 03-Lesson 05_Monte Carlo Methods/06. MC Prediction Action Values-08tLtbh0xLs.mp4

Part 02-Module 03-Lesson 05_Monte Carlo Methods/13. MC Control Policy Improvement-2RKH-BInX7s.mp4

Part 02-Module 06-Lesson 01_Optimize Your GitHub Profile/05. Interview with Art - Part 1-ClLYamtaO-Q.mp4

Part 01-Module 10-Lesson 03_Decision Trees/01. MLND SL DT 00 Intro V2-l34ijtQhVNk.mp4

Part 02-Module 04-Lesson 01_RL in Continuous Spaces/03. Discrete vs. Continuous Spaces-uHstLeRzaE8.mp4

Part 01-Module 10-Lesson 04_Naive Bayes/04. SL NB 03 Guess The Person Now V1 V2-pQgO1KF90yU.mp4

Part 02-Module 04-Lesson 03_Policy-Based Methods/04. M2L3 04 V1-QicxmyE5vTo.mp4

Part 02-Module 04-Lesson 02_Deep Q-Learning/08. Fixed Q Targets-SWpyiEezfp4.mp4

Part 01-Module 13-Lesson 01_PCA/28. PCA in sklearn-SBYdqlLgbGk.mp4

Part 01-Module 13-Lesson 01_PCA/23. PCA for Feature Transformation-8kUPRUEMCA8.mp4

Part 02-Module 03-Lesson 06_Temporal-Difference Methods/01. Introduction-yXErXQulI_o.mp4

Part 02-Module 06-Lesson 02_Take 30 Min to Improve your LinkedIn/03. Elevator Pitch-S-nAHPrkQrQ.mp4

Part 02-Module 03-Lesson 03_The RL Framework The Solution/02. Policies-hc3LrvaC13U.mp4

Part 02-Module 04-Lesson 01_RL in Continuous Spaces/10. Function Approximation-UTGWVY6jEdg.mp4

Part 02-Module 03-Lesson 05_Monte Carlo Methods/10. MC Control Incremental Mean-E2RITH-2NUE.mp4

Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/11. MLND - Unsupervised Learning - L2 08 DBSCAN MAIN V1 V2--dqyFkfnctI.mp4

Part 01-Module 11-Lesson 04_Gaussian Mixture Models and Cluster Validation/11. MLND - Unsupervised Learning - L3 11 Visual Example Of EM Progress MAIN V1 V1-9x3d_eVJrJE.mp4

Part 02-Module 04-Lesson 03_Policy-Based Methods/03. M2L3 03 V2-TePX-0Bs23E.mp4

Part 01-Module 10-Lesson 05_Support Vector Machines/07. SVM 06 Margin Error V2-dSac8Gfgbok.mp4

Part 01-Module 10-Lesson 05_Support Vector Machines/14. SVM 12 RBF Kernel 1 V3-xdkIulxXWfQ.mp4

Part 02-Module 02-Lesson 04_Convolutional Neural Networks/17. CNNs For Image Classification-l9vg_1YUlzg.mp4

Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/03. MLND - Unsupervised Learning - L2 03 V2-pd9Ix3WMP_Q.mp4

Part 01-Module 13-Lesson 01_PCA/17. Composite Features-spVqFnSvlIU.mp4

Part 01-Module 11-Lesson 03_Hierarchical and Density-based Clustering/15. MLND - Unsupervised Learning - L2 10 DBSCAN Examples Applications MAIN V1 V2-GhyFsjQ4FkA.mp4

Part 02-Module 02-Lesson 04_Convolutional Neural Networks/02. Aplicações de CNNs-HrYNL_1SV2Y.mp4

Part 01-Module 13-Lesson 01_PCA/29. When to Use PCA-hJZHcmJBk1o.mp4