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1 - 1 - Welcome! (05-35).mp4
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7.11 MB
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1 - 1 - Welcome! (05-35).srt
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10.07 KB
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1 - 2 - Overview and Motivation (19-17).mp4
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23 MB
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1 - 2 - Overview and Motivation (19-17).srt
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24.7 KB
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1 - 3 - Distributions (04-56).mp4
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5.81 MB
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1 - 3 - Distributions (04-56).srt
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6.89 KB
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1 - 4 - Factors (06-40).mp4
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7.37 MB
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1 - 4 - Factors (06-40).srt
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8.49 KB
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10 - 1 - Properties of Belief Propagation (9-31).mp4
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5.75 MB
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10 - 1 - Properties of Belief Propagation (9-31).srt
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10.45 KB
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10 - 2 - Clique Tree Algorithm - Correctness (18-23).mp4
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10.48 MB
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10 - 2 - Clique Tree Algorithm - Correctness (18-23).srt
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20.09 KB
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10 - 3 - Clique Tree Algorithm - Computation (16-18).mp4
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8.72 MB
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10 - 3 - Clique Tree Algorithm - Computation (16-18).srt
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16.08 KB
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10 - 4 - Clique Trees and Independence (15-21).mp4
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9.52 MB
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10 - 4 - Clique Trees and Independence (15-21).srt
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16.93 KB
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10 - 5 - Clique Trees and VE (16-17).mp4
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10.55 MB
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10 - 5 - Clique Trees and VE (16-17).srt
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17.7 KB
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10 - 6 - BP In Practice (15-38).mp4
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9.2 MB
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10 - 6 - BP In Practice (15-38).srt
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17.3 KB
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10 - 7 - Loopy BP and Message Decoding (21-42).mp4
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13.15 MB
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10 - 7 - Loopy BP and Message Decoding (21-42).srt
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26.53 KB
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11 - 1 - Max Sum Message Passing (20-27).mp4
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12.65 MB
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11 - 1 - Max Sum Message Passing (20-27).srt
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22.26 KB
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11 - 2 - Finding a MAP Assignment (3-57).mp4
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2.67 MB
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11 - 2 - Finding a MAP Assignment (3-57).srt
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5.12 KB
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12 - 1 - Tractable MAP Problems (15-04).mp4
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9.69 MB
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12 - 1 - Tractable MAP Problems (15-04).srt
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18.94 KB
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12 - 2 - Dual Decomposition - Intuition (17-46).mp4
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11.2 MB
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12 - 2 - Dual Decomposition - Intuition (17-46).srt
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19.63 KB
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12 - 3 - Dual Decomposition - Algorithm (16-16).mp4
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9.74 MB
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12 - 3 - Dual Decomposition - Algorithm (16-16).srt
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18.51 KB
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13 - 1 - Simple Sampling (23-37).mp4
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13.78 MB
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13 - 1 - Simple Sampling (23-37).srt
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26.26 KB
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13 - 2 - Markov Chain Monte Carlo (14-18).mp4
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9.21 MB
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13 - 2 - Markov Chain Monte Carlo (14-18).srt
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13 - 3 - Using a Markov Chain (15-27).mp4
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9.53 MB
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13 - 3 - Using a Markov Chain (15-27).srt
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13 - 4 - Gibbs Sampling (19-26).mp4
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12.5 MB
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13 - 4 - Gibbs Sampling (19-26).srt
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19.56 KB
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13 - 5 - Metropolis Hastings Algorithm (27-06).mp4
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16.91 MB
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13 - 5 - Metropolis Hastings Algorithm (27-06).srt
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32.46 KB
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14 - 1 - Inference in Temporal Models (19-43).mp4
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13.56 MB
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14 - 1 - Inference in Temporal Models (19-43).srt
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24.78 KB
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14 - 2 - Inference- Summary (12-45).mp4
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7.83 MB
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14 - 2 - Inference- Summary (12-45).srt
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16.36 KB
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15 - 1 - Maximum Expected Utility (25-57).mp4
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28.99 MB
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15 - 1 - Maximum Expected Utility (25-57).srt
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29.87 KB
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15 - 2 - Utility Functions (18-15).mp4
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19.68 MB
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15 - 2 - Utility Functions (18-15).srt
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15 - 3 - Value of Perfect Information (17-14).mp4
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19.28 MB
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15 - 3 - Value of Perfect Information (17-14).srt
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21.64 KB
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16 - 1 - Regularization- The Problem of Overfitting (09-42).mp4
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11.15 MB
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16 - 1 - Regularization- The Problem of Overfitting (09-42).srt
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16 - 2 - Regularization- Cost Function (10-10).mp4
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11.63 MB
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16 - 2 - Regularization- Cost Function (10-10).srt
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16 - 3 - Evaluating a Hypothesis (07-35).mp4
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8.48 MB
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16 - 3 - Evaluating a Hypothesis (07-35).srt
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9.1 KB
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16 - 4 - Model Selection and Train Validation Test Sets (12-03).mp4
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14.07 MB
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16 - 4 - Model Selection and Train Validation Test Sets (12-03).srt
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16.03 KB
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16 - 5 - Diagnosing Bias vs Variance (07-42).mp4
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8.97 MB
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16 - 5 - Diagnosing Bias vs Variance (07-42).srt
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10.44 KB
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16 - 6 - Regularization and Bias Variance (11-20).mp4
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12.6 MB
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16 - 6 - Regularization and Bias Variance (11-20).srt
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14.84 KB
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17 - 1 - Learning- Overview (15-35).mp4
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17.51 MB
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17 - 1 - Learning- Overview (15-35).srt
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19.47 KB
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18 - 1 - Maximum Likelihood Estimation (14-59).mp4
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15.15 MB
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18 - 1 - Maximum Likelihood Estimation (14-59).srt
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15.4 KB
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18 - 2 - Maximum Likelihood Estimation for Bayesian Networks (15-49).mp4
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17.72 MB
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18 - 2 - Maximum Likelihood Estimation for Bayesian Networks (15-49).srt
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16.75 KB
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18 - 3 - Bayesian Estimation (15-27).mp4
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18.66 MB
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18 - 3 - Bayesian Estimation (15-27).srt
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17.73 KB
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18 - 4 - Bayesian Prediction (13-40).mp4
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16.21 MB
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18 - 4 - Bayesian Prediction (13-40).srt
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15 KB
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18 - 5 - Bayesian Estimation for Bayesian Networks (17-02).mp4
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21.16 MB
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18 - 5 - Bayesian Estimation for Bayesian Networks (17-02).srt
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18.91 KB
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19 - 1 - Maximum Likelihood for Log-Linear Models (28-47).mp4
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34.61 MB
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19 - 1 - Maximum Likelihood for Log-Linear Models (28-47).srt
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30.93 KB
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19 - 2 - Maximum Likelihood for Conditional Random Fields (13-24).mp4
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15.1 MB
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19 - 2 - Maximum Likelihood for Conditional Random Fields (13-24).srt
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15.77 KB
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19 - 3 - MAP Estimation for MRFs and CRFs (9-59).mp4
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11.29 MB
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19 - 3 - MAP Estimation for MRFs and CRFs (9-59).srt
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12.37 KB
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2 - 1 - Semantics & Factorization (17-20).mp4
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19.56 MB
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2 - 1 - Semantics & Factorization (17-20).srt
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21.14 KB
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2 - 2 - Reasoning Patterns (09-59).mp4
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10.78 MB
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2 - 2 - Reasoning Patterns (09-59).srt
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11.87 KB
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2 - 3 - Flow of Probabilistic Influence (14-36).mp4
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15.47 MB
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2 - 3 - Flow of Probabilistic Influence (14-36).srt
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15.46 KB
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2 - 4 - Conditional Independence (12-38).mp4
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15.52 MB
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2 - 4 - Conditional Independence (12-38).srt
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14.98 KB
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2 - 5 - Independencies in Bayesian Networks (18-18).mp4
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21.54 MB
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2 - 5 - Independencies in Bayesian Networks (18-18).srt
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22.93 KB
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2 - 6 - Naive Bayes (09-52).mp4
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10.63 MB
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2 - 6 - Naive Bayes (09-52).srt
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11.13 KB
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2 - 7 - Application - Medical Diagnosis (09-19).mp4
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11.51 MB
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2 - 7 - Application - Medical Diagnosis (09-19).srt
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12.06 KB
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2 - 8 - Knowledge Engineering Example - SAMIAM (14-14).mp4
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12.76 MB
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2 - 8 - Knowledge Engineering Example - SAMIAM (14-14).srt
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23 KB
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20 - 1 - Structure Learning Overview (5-49).mp4
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6.66 MB
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20 - 1 - Structure Learning Overview (5-49).srt
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7.82 KB
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20 - 2 - Likelihood Scores (16-49).mp4
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18.73 MB
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20 - 2 - Likelihood Scores (16-49).srt
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18.84 KB
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20 - 3 - BIC and Asymptotic Consistency (11-26).mp4
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12.53 MB
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20 - 3 - BIC and Asymptotic Consistency (11-26).srt
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13.58 KB
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20 - 4 - Bayesian Scores (20-35).mp4
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22.62 MB
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20 - 4 - Bayesian Scores (20-35).srt
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23.84 KB
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20 - 5 - Learning Tree Structured Networks (12-05).mp4
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14.46 MB
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20 - 5 - Learning Tree Structured Networks (12-05).srt
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13.93 KB
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20 - 6 - Learning General Graphs- Heuristic Search (23-36).mp4
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26.77 MB
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20 - 6 - Learning General Graphs- Heuristic Search (23-36).srt
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30.24 KB
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20 - 7 - Learning General Graphs- Search and Decomposability (15-46).mp4
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17.64 MB
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20 - 7 - Learning General Graphs- Search and Decomposability (15-46).srt
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18.99 KB
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21 - 1 - Learning With Incomplete Data - Overview (21-34).mp4
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24.86 MB
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21 - 1 - Learning With Incomplete Data - Overview (21-34).srt
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24.53 KB
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21 - 2 - Expectation Maximization - Intro (16-17).mp4
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18.07 MB
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21 - 2 - Expectation Maximization - Intro (16-17).srt
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20.04 KB
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21 - 3 - Analysis of EM Algorithm (11-32).mp4
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12.88 MB
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21 - 3 - Analysis of EM Algorithm (11-32).srt
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13.12 KB
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21 - 4 - EM in Practice (11-17).mp4
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12.69 MB
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21 - 4 - EM in Practice (11-17).srt
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15.13 KB
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21 - 5 - Latent Variables (22-00).mp4
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26.7 MB
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21 - 5 - Latent Variables (22-00).srt
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25.27 KB
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22 - 1 - Summary- Learning (20-11).mp4
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25.69 MB
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23 - 1 - Class Summary (24-38).mp4
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MP4
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32.21 MB
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3 - 1 - Overview of Template Models (10-55).mp4
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11.57 MB
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3 - 1 - Overview of Template Models (10-55).srt
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12.67 KB
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3 - 2 - Temporal Models - DBNs (23-02).mp4
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26.07 MB
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3 - 2 - Temporal Models - DBNs (23-02).srt
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26.34 KB
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3 - 3 - Temporal Models - HMMs (12-01).mp4
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13.58 MB
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3 - 3 - Temporal Models - HMMs (12-01).srt
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15.11 KB
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3 - 4 - Plate Models (20-08).mp4
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22.48 MB
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3 - 4 - Plate Models (20-08).srt
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23.36 KB
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4 - 1 - Basic Operations (13-59).mp4
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17.71 MB
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4 - 1 - Basic Operations (13-59).srt
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16.41 KB
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4 - 2 - Moving Data Around (16-07).mp4
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20.77 MB
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4 - 2 - Moving Data Around (16-07).srt
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18.57 KB
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4 - 3 - Computing On Data (13-15).mp4
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15.25 MB
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4 - 3 - Computing On Data (13-15).srt
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15.92 KB
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4 - 4 - Plotting Data (09-38).mp4
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13.32 MB
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4 - 4 - Plotting Data (09-38).srt
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11.22 KB
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4 - 5 - Control Statements- for, while, if statements (12-55).mp4
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16.49 MB
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4 - 5 - Control Statements- for, while, if statements (12-55).srt
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15.09 KB
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4 - 6 - Vectorization (13-48).mp4
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16.09 MB
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4 - 6 - Vectorization (13-48).srt
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16.66 KB
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4 - 7 - Working on and Submitting Programming Exercises (03-33).mp4
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5.5 MB
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4 - 7 - Working on and Submitting Programming Exercises (03-33).srt
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4.52 KB
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5 - 1 - Overview- Structured CPDs (08-00).mp4
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9.65 MB
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5 - 1 - Overview- Structured CPDs (08-00).srt
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9.93 KB
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5 - 2 - Tree-Structured CPDs (14-37).mp4
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16.04 MB
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5 - 2 - Tree-Structured CPDs (14-37).srt
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16.81 KB
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5 - 3 - Independence of Causal Influence (13-08).mp4
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15.87 MB
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5 - 3 - Independence of Causal Influence (13-08).srt
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13.9 KB
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5 - 4 - Continuous Variables (13-25).mp4
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15.34 MB
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5 - 4 - Continuous Variables (13-25).srt
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14.54 KB
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6 - 1 - Pairwise Markov Networks (10-59).mp4
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12.56 MB
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6 - 1 - Pairwise Markov Networks (10-59).srt
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13.5 KB
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6 - 2 - General Gibbs Distribution (15-52).mp4
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18.93 MB
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6 - 2 - General Gibbs Distribution (15-52).srt
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16.31 KB
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6 - 3 - Conditional Random Fields (22-22).mp4
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25.06 MB
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6 - 3 - Conditional Random Fields (22-22).srt
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23.4 KB
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6 - 4 - Independencies in Markov Networks (04-48).mp4
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5.84 MB
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6 - 4 - Independencies in Markov Networks (04-48).srt
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5.34 KB
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6 - 5 - I-maps and perfect maps (20-59).mp4
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22.41 MB
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6 - 5 - I-maps and perfect maps (20-59).srt
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22.58 KB
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6 - 6 - Log-Linear Models (22-08).mp4
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25.77 MB
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6 - 6 - Log-Linear Models (22-08).srt
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26.52 KB
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6 - 7 - Shared Features in Log-Linear Models (08-28).mp4
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10.02 MB
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6 - 7 - Shared Features in Log-Linear Models (08-28).srt
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9.03 KB
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7 - 1 - Knowledge Engineering (23-05).mp4
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24.65 MB
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7 - 1 - Knowledge Engineering (23-05).srt
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28.2 KB
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8 - 1 - Overview- Conditional Probability Queries (15-22).mp4
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MP4
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9.01 MB
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8 - 1 - Overview- Conditional Probability Queries (15-22).srt
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17.44 KB
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8 - 2 - Overview- MAP Inference (09-42).mp4
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MP4
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5.87 MB
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8 - 2 - Overview- MAP Inference (09-42).srt
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SRT
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11.17 KB
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8 - 3 - Variable Elimination Algorithm (16-17).mp4
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11.11 MB
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8 - 3 - Variable Elimination Algorithm (16-17).srt
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17.51 KB
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8 - 4 - Complexity of Variable Elimination (12-48).mp4
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8.58 MB
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8 - 4 - Complexity of Variable Elimination (12-48).srt
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12.86 KB
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8 - 5 - Graph-Based Perspective on Variable Elimination (15-25).mp4
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MP4
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9.55 MB
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8 - 5 - Graph-Based Perspective on Variable Elimination (15-25).srt
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14.82 KB
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8 - 6 - Finding Elimination Orderings (11-58).mp4
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8.77 MB
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8 - 6 - Finding Elimination Orderings (11-58).srt
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14.1 KB
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9 - 1 - Belief Propagation (21-21).mp4
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13.25 MB
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9 - 1 - Belief Propagation (21-21).srt
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23.84 KB
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9 - 2 - Properties of Cluster Graphs (15-00).mp4
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MP4
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9.73 MB
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9 - 2 - Properties of Cluster Graphs (15-00).srt
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16.51 KB
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![Probabilistic Graphical Models [2012, ENG]](/static/img/no-torrent-image.png "Probabilistic Graphical Models [2012, ENG]")
