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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 3 - Relational Algebra Introduction (1058).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 7 - 07 Overfitting (1104).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 6 - Recap and Big Data (1139).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 9 - Physical Optimization (1114).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/1 - 4 - Dimensions (1024).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/1 - 6 - This Course Part 2 (1050).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/3 - 2 - Parallel Processing Patterns (1126).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 11 - 11 Random Forests (1116).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/8 - 10 - Pig Functions (1141).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 12 - 12 k Nearest Neighbors (1143).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/1 - 3 - Context (930).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 8 - Bayes Rule (1153).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/8 - 6 - Example BigTable (1105).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 1 - Statistics Intro (1036).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 5 - Multiple Hypothesis Testing (1122).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 4 - Relational Algebra Details Union Diff Select (1053).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/8 - 5 - Example CouchDB (1000).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 8 - 08 Evaluation and Cross-Validation (1046).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/8 - 12 - Pig Evaluation (1011).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 11 - Logical Data Independence (1123).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 4 - Fraud and Benfords Law (1055).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 5 - 05 Decision Trees Entropy (1051).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 10 - Declarative Languages (1030).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/8 - 4 - Example Dynamo (1016).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 2 - Motivating Relational Algebra (857).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/8 - 1 - NoSQL Introduction (830).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 8 - 08 DBSCAN (0913).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/3 - 5 - MapReduce Text Examples (958).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/1 - 9 - Guest Lecture Biomedical Informatics (1024).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 3 - 03 Rules Part 1 (0919).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 2 - 02 Data Types (937).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 6 - Relational Algebra Details Theta-Join (834).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/1 - 10 - Logistics (742).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 2 - Publication Bias (845).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 1 - 01 Gradient Descent Part 1 (0718).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/2 - 8 - SQL for Data Science User-Defined Functions (759).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/3 - 10 - Comparing MapReduce and Databases (0639).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/4 - 7 - Bayesian Intro (759).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/3 - 4 - MapReduce Pseudocode (754).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 6 - 06 Unsupervised Learning (0611).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/3 - 7 - MapReduce Matrix Multiply Example (931).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 1 - 01 Introduction (717).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/9 - 2 - 02 Gradient Descent Part 2 (0629).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 5 - 05 Visual Encoding (Part 1) (638).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 4 - 04 Rules Part 2 (0539).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 7 - 07 Visual Perception (Part 1) (439).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/5 - 9 - 09 The Bootstrap (0413).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 8 - 08 Visual Perception (Part 2) (418).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 3 - 03 Data Types (Exercises) (407).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 9 - 09 Visual Perception (Part 3) (356).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 10 - 10 Evaluation (325).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 4 - 04 Data Dimensions (308).srt |
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| Coursera - Introduction to Data Science (2013)/subtitles/6 - 6 - 06 Visual Encoding (Part 2) (254).srt |
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| Coursera - Introduction to Data Science (2013)/virtual machine/tips.txt |
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