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  • MP419 - 1 - ximum Likelihood for Log-Linear Models (28-47).mp434.61MB
  • MP423 - 1 - Class Sumry (24-38).mp432.21MB
  • MP415 - 1 - ximum Expected Utility (25-57).mp428.99MB
  • MP420 - 6 - Learning General Graphs- Heuristic Search (23-36).mp426.77MB
  • MP421 - 5 - Latent Variables (22-00).mp426.70MB
  • MP43 - 2 - Temporal Models - DBNs (23-02).mp426.07MB
  • MP46 - 6 - Log-Linear Models (22-08).mp425.77MB
  • MP422 - 1 - Sumry- Learning (20-11).mp425.69MB
  • MP46 - 3 - Conditional Random Fields (22-22).mp425.06MB
  • MP421 - 1 - Learning With Incomplete Data - Overview (21-34).mp424.86MB
  • MP47 - 1 - Knowledge Engineering (23-05).mp424.65MB
  • MP41 - 2 - Overview and Motivation (19-17).mp423.00MB
  • MP420 - 4 - Bayesian Scores (20-35).mp422.62MB
  • MP43 - 4 - Plate Models (20-08).mp422.48MB
  • MP46 - 5 - I-ps and perfect maps (20-59).mp422.41MB
  • MP42 - 5 - Independencies in Bayesian Networks (18-18).mp421.54MB
  • MP418 - 5 - Bayesian Estition for Bayesian Networks (17-02).mp421.16MB
  • MP44 - 2 - Moving Data Around (16-07).mp420.77MB
  • MP415 - 2 - Utility Functions (18-15).mp419.68MB
  • MP42 - 1 - Sentics & Factorization (17-20).mp419.56MB
  • MP415 - 3 - Value of Perfect Infortion (17-14).mp419.28MB
  • MP46 - 2 - General Gi Distribution (15-52).mp418.93MB
  • MP420 - 2 - Likelihood Scores (16-49).mp418.73MB
  • MP418 - 3 - Bayesian Estition (15-27).mp418.66MB
  • MP421 - 2 - Expectation ximization - Intro (16-17).mp418.07MB
  • MP418 - 2 - ximum Likelihood Estimation for Bayesian Networks (15-49).mp417.72MB
  • MP44 - 1 - Basic Operations (13-59).mp417.71MB
  • MP420 - 7 - Learning General Graphs- Search and Decomposability (15-46).mp417.64MB
  • MP417 - 1 - Learning- Overview (15-35).mp417.51MB
  • MP413 - 5 - Metropolis Hastings Algorithm (27-06).mp416.91MB
  • MP44 - 5 - Control Statements- for, while, if statements (12-55).mp416.49MB
  • MP418 - 4 - Bayesian Prediction (13-40).mp416.21MB
  • MP44 - 6 - Vectorization (13-48).mp416.09MB
  • MP45 - 2 - Tree-Structured CPDs (14-37).mp416.04MB
  • MP45 - 3 - Independence of Causal Influence (13-08).mp415.87MB
  • MP42 - 4 - Conditional Independence (12-38).mp415.52MB
  • MP42 - 3 - Flow of Probabilistic Influence (14-36).mp415.47MB
  • MP45 - 4 - Continuous Variables (13-25).mp415.34MB
  • MP44 - 3 - Computing On Data (13-15).mp415.25MB
  • MP418 - 1 - ximum Likelihood Estimation (14-59).mp415.15MB
  • MP419 - 2 - ximum Likelihood for Conditional Random Fields (13-24).mp415.10MB
  • MP420 - 5 - Learning Tree Structured Networks (12-05).mp414.46MB
  • MP416 - 4 - Model Selection and Train Validation Test Sets (12-03).mp414.07MB
  • MP413 - 1 - Simple Sampling (23-37).mp413.78MB
  • MP43 - 3 - Temporal Models - HMMs (12-01).mp413.58MB
  • MP414 - 1 - Inference in Temporal Models (19-43).mp413.56MB
  • MP44 - 4 - Plotting Data (09-38).mp413.32MB
  • MP49 - 1 - Belief Propagation (21-21).mp413.25MB
  • MP410 - 7 - Loopy BP and Message Decoding (21-42).mp413.15MB
  • MP421 - 3 - Analysis of EM Algorithm (11-32).mp412.88MB
  • MP42 - 8 - Knowledge Engineering Example - SAMIAM (14-14).mp412.76MB
  • MP421 - 4 - EM in Practice (11-17).mp412.69MB
  • MP411 - 1 - x Sum Message Passing (20-27).mp412.65MB
  • MP416 - 6 - Regularization and Bias Variance (11-20).mp412.60MB
  • MP46 - 1 - Pairwise rkov Networks (10-59).mp412.56MB
  • MP420 - 3 - BIC and Asymptotic Consistency (11-26).mp412.53MB
  • MP413 - 4 - Gi g (19-26).mp412.50MB
  • MP416 - 2 - Regularization- Cost Function (10-10).mp411.63MB
  • MP43 - 1 - Overview of Template Models (10-55).mp411.57MB
  • MP42 - 7 - Application - Medical Diagnosis (09-19).mp411.51MB
  • MP419 - 3 - P Estimation for MRFs and CRFs (9-59).mp411.29MB
  • MP412 - 2 - Dual Decomposition - Intuition (17-46).mp411.20MB
  • MP416 - 1 - Regularization- The Problem of Overfitting (09-42).mp411.15MB
  • MP48 - 3 - Variable Elimination Algorithm (16-17).mp411.11MB
  • MP42 - 2 - Reasoning Patterns (09-59).mp410.78MB
  • MP42 - 6 - Naive Bayes (09-52).mp410.63MB
  • MP410 - 5 - Clique Trees and VE (16-17).mp410.55MB
  • MP410 - 2 - Clique Tree Algorithm - Correctness (18-23).mp410.48MB
  • MP46 - 7 - Shared Features in Log-Linear Models (08-28).mp410.02MB
  • MP412 - 3 - Dual Decomposition - Algorithm (16-16).mp49.74MB
  • MP49 - 2 - Properties of Cluster Graphs (15-00).mp49.73MB
  • MP412 - 1 - Tractable P Problems (15-04).mp49.69MB
  • MP45 - 1 - Overview- Structured CPDs (08-00).mp49.65MB
  • MP48 - 5 - Graph-Based Perspective on Variable Elimination (15-25).mp49.55MB
  • MP413 - 3 - Using a rkov Chain (15-27).mp49.53MB
  • MP410 - 4 - Clique Trees and Independence (15-21).mp49.52MB
  • MP413 - 2 - rkov Chain Monte Carlo (14-18).mp49.21MB
  • MP410 - 6 - BP In Practice (15-38).mp49.20MB
  • MP48 - 1 - Overview- Conditional Probability Queries (15-22).mp49.01MB
  • MP416 - 5 - Diagnosing Bias vs Variance (07-42).mp48.97MB
  • MP48 - 6 - Finding Elimination Orderings (11-58).mp48.77MB
  • MP410 - 3 - Clique Tree Algorithm - Computation (16-18).mp48.72MB
  • MP48 - 4 - Complexity of Variable Elimination (12-48).mp48.58MB
  • MP416 - 3 - Evaluating a Hypothesis (07-35).mp48.48MB
  • MP414 - 2 - Inference- Sumry (12-45).mp47.83MB
  • MP41 - 4 - Factors (06-40).mp47.37MB
  • MP41 - 1 - Welcome! (05-35).mp47.11MB
  • MP420 - 1 - Structure Learning Overview (5-49).mp46.66MB
  • MP48 - 2 - Overview- P Inference (09-42).mp45.87MB
  • MP46 - 4 - Independencies in rkov Networks (04-48).mp45.84MB
  • MP41 - 3 - Distributions (04-56).mp45.81MB
  • MP410 - 1 - Properties of Belief Propagation (9-31).mp45.75MB
  • MP44 - 7 - Working on and Submitting Programming Exercises (03-33).mp45.50MB
  • MP411 - 2 - Finding a P Assignment (3-57).mp42.67MB
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