Coursera - Introduction to Data Science (2013)

Creation Time	Aug. 28, 2023, 6:27 a.m.
Last Access Time	Nov. 12, 2024, 1:37 p.m.
File Size	3.9 GB
Keywords	Introduction Science Coursera - to Data 2013
Total Requests	224
Total Files	290
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virtual machine/Coursera-Data-Science-Ubuntu.ova 2.3 GB
soft/TableauDesktop.exe 87.4 MB
video-extra/Introduction to JSMapreduce.mp4 48.9 MB
video/8 - 2 - Eventual Consistency (1856).mp4 26.0 MB
video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4 25.3 MB
video/1 - 1 - Appetite Whetting Part 1 (1538).mp4 23.9 MB
video/8 - 7 - Example Other Google Systems (1618).mp4 23.7 MB
video/8 - 3 - Example Memcached (1637).mp4 23.3 MB
video/3 - 1 - Scalability Basics (1618).mp4 23.3 MB
video/3 - 9 - Parallel Databases (1618).mp4 22.7 MB
video/8 - 11 - Pig Join and Co-Group Join (1610).mp4 22.4 MB
video/1 - 8 - Big Data (1436).mp4 21.9 MB
video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4 21.3 MB
video/1 - 2 - Appetite Whetting Part 2 (1344).mp4 20.2 MB
video/3 - 11 - Experimental Results MR and DB (1501).mp4 20.2 MB
video/1 - 5 - This Course Part 1 (1402).mp4 19.7 MB
video/8 - 8 - Response to NoSQL Systems (1444).mp4 19.4 MB
video/5 - 6 - 06 Information Gain (1143).mp4 19.3 MB
video/3 - 6 - MapReduce Relational Join Social Example (1317).mp4 18.7 MB
video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4 18.2 MB
video/3 - 8 - MapReduce Implementation Overview (1338).mp4 18.0 MB
video/4 - 8 - Bayes Rule (1153).mp4 17.7 MB
video/4 - 6 - Recap and Big Data (1139).mp4 17.5 MB
video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4 17.2 MB
video/4 - 1 - Statistics Intro (1036).mp4 16.9 MB
video/3 - 3 - MapReduce Abstractions (1117).mp4 16.9 MB
video/5 - 12 - 12 k Nearest Neighbors (1143).mp4 16.9 MB
video/5 - 11 - 11 Random Forests (1116).mp4 16.8 MB
video/1 - 7 - eScience (1146).mp4 16.8 MB
video/4 - 5 - Multiple Hypothesis Testing (1122).mp4 16.5 MB
video/8 - 10 - Pig Functions (1141).mp4 16.5 MB
video/3 - 2 - Parallel Processing Patterns (1126).mp4 16.4 MB
video/5 - 7 - 07 Overfitting (1104).mp4 16.2 MB
video/7 - 8 - 08 PRISM Example in Datalog (1110).mp4 16.2 MB
video/3 - 5 - MapReduce Text Examples (958).mp4 16.2 MB
video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4 16.1 MB
video/2 - 9 - Physical Optimization (1114).mp4 16.0 MB
video/4 - 4 - Fraud and Benfords Law (1055).mp4 16.0 MB
video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4 15.9 MB
video/2 - 3 - Relational Algebra Introduction (1058).mp4 15.8 MB
video/5 - 5 - 05 Decision Trees Entropy (1051).mp4 15.7 MB
video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4 15.5 MB
video/8 - 6 - Example BigTable (1105).mp4 15.5 MB
video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4 15.4 MB
video/8 - 9 - Pig Intro (1202).mp4 15.4 MB
video/2 - 10 - Declarative Languages (1030).mp4 15.3 MB
video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4 15.0 MB
video/2 - 1 - From Data Models to Databases (1035).mp4 14.9 MB
video/8 - 12 - Pig Evaluation (1011).mp4 14.4 MB
video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4 14.1 MB
video/1 - 6 - This Course Part 2 (1050).mp4 14.1 MB
video/8 - 5 - Example CouchDB (1000).mp4 14.0 MB
video/2 - 11 - Logical Data Independence (1123).mp4 14.0 MB
video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4 13.9 MB
video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4 13.8 MB
video/8 - 4 - Example Dynamo (1016).mp4 13.8 MB
video/9 - 8 - 08 DBSCAN (0913).mp4 13.7 MB
video/6 - 2 - 02 Data Types (937).mp4 13.5 MB
video/1 - 3 - Context (930).mp4 13.4 MB
video/3 - 7 - MapReduce Matrix Multiply Example (931).mp4 13.2 MB
video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4 13.0 MB
video/4 - 2 - Publication Bias (845).mp4 13.0 MB
video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4 12.9 MB
video/5 - 3 - 03 Rules Part 1 (0919).mp4 12.9 MB
video/8 - 1 - NoSQL Introduction (830).mp4 12.8 MB
video/1 - 4 - Dimensions (1024).mp4 12.8 MB
video/2 - 2 - Motivating Relational Algebra (857).mp4 12.7 MB
video/4 - 7 - Bayesian Intro (759).mp4 12.5 MB
video/3 - 4 - MapReduce Pseudocode (754).mp4 12.3 MB
video/2 - 6 - Relational Algebra Details Theta-Join (834).mp4 12.2 MB
video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4 12.2 MB
video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4 12.0 MB
video/7 - 2 - 02 Structure Degree Histograms (0814).mp4 11.8 MB
video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4 11.6 MB
video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4 11.6 MB
video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp4 11.2 MB
video/1 - 10 - Logistics (742).mp4 10.9 MB
video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4 10.3 MB
video/6 - 1 - 01 Introduction (717).mp4 10.2 MB
video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp4 10.1 MB
video/9 - 4 - 04 Intuition for Regularization (0659).mp4 9.9 MB
video/7 - 11 - 11 Graph Representations (0651).mp4 9.7 MB
video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4 9.6 MB
video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp4 9.6 MB
video/7 - 4 - 04 Traversal PageRank (0637).mp4 9.4 MB
video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp4 9.1 MB
video/3 - 10 - Comparing MapReduce and Databases (0639).mp4 9.0 MB
video/7 - 1 - 01 Graph Basics (0622).mp4 8.7 MB
video/9 - 6 - 06 Unsupervised Learning (0611).mp4 8.7 MB
video/5 - 4 - 04 Rules Part 2 (0539).mp4 8.6 MB
video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4 8.0 MB
video/9 - 7 - 07 K-means (0556).mp4 8.0 MB
video/5 - 9 - 09 The Bootstrap (0413).mp4 6.6 MB
video/6 - 7 - 07 Visual Perception (Part 1) (439).mp4 6.5 MB
assignments/6_VisualizationAssignment.twbx 6.0 MB
video/6 - 8 - 08 Visual Perception (Part 2) (418).mp4 6.0 MB
video/6 - 3 - 03 Data Types (Exercises) (407).mp4 5.9 MB
video/6 - 9 - 09 Visual Perception (Part 3) (356).mp4 5.3 MB
video/6 - 10 - 10 Evaluation (325).mp4 5.0 MB
video/6 - 4 - 04 Data Dimensions (308).mp4 4.4 MB
video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp4 4.2 MB
slides/016_parallel_thinking.pdf 3.1 MB
slides/005_escience.pdf 2.6 MB
slides/017_map_reduce_abstraction.pdf 2.2 MB
slides/059_gradient_descent_part_1.pdf 1.4 MB
slides/006_big_data.pdf 1.3 MB
slides/041_fraud_benfords_law.pdf 1.2 MB
slides/000b_appetite_whetting_2.pdf 1.1 MB
slides/000_appetite_whetting_1.pdf 1.0 MB
slides/Infovis Aragon 2 Data Types.pdf 954.7 KB
slides/Infovis Aragon 7 Visual Perception (Part 1).pdf 884.7 KB
docs/Running Tableau on AWS.pdf 874.4 KB
slides/087_pagerank_mapreduce_pregel.pdf 803.6 KB
slides/Infovis Aragon 5 Visual Encoding (Part 1).pdf 750.0 KB
slides/033_nosql_response.pdf 746.6 KB
slides/guests-kiji-uw-data-science.pdf 736.1 KB
slides/025_mapreduce_and_databases_experiments.pdf 730.1 KB
slides/032_other_google_systems.pdf 728.9 KB
slides/027_eventual_consistency.pdf 717.7 KB
slides/003_this_course_1.pdf 704.2 KB
slides/Infovis Aragon 6 Visual Encoding (Part 2).pdf 685.4 KB
slides/Infovis Aragon 1 Introduction.pdf 673.5 KB
slides/Infovis Aragon 4 Data Dimensions.pdf 670.8 KB
slides/013_declarative_languages.pdf 661.3 KB
slides/043_recap_and_big_data.pdf 659.4 KB
slides/061_intuition_logistic_regression_svms.pdf 640.3 KB
slides/066_dbscan.pdf 636.5 KB
slides/008_data_models.pdf 620.2 KB
slides/060_gradient_descent_part_2.pdf 595.1 KB
slides/028_memcached.pdf 585.8 KB
slides/011.8_interpreting_complicated_sql.pdf 577.0 KB
slides/084_evaluating_recursive_programs.pdf 577.0 KB
slides/040_effect_size_meta_analysis_heteroskedasticity.pdf 568.0 KB
slides/030_couchdb.pdf 562.2 KB
slides/064_unsupervised_learning_copy.pdf 550.9 KB
slides/034_pig_intro.pdf 527.1 KB
slides/026_nosql_intro.pdf 525.2 KB
slides/022_map_reduce_implementation_overview.pdf 500.9 KB
slides/011.7_theta_join.pdf 492.1 KB
slides/063_stochastic_gradient_descent.pdf 490.3 KB
slides/062_intuition_regularization.pdf 490.1 KB
slides/049_rules_1.pdf 484.2 KB
slides/031_bigtable.pdf 483.2 KB
slides/077b_graph_histograms.pdf 481.8 KB
slides/051_intro_trees.pdf 476.6 KB
slides/014_logical_data_independence.pdf 469.0 KB
slides/081_pattern_matching.pdf 467.5 KB
slides/042_multiple_hypothesis_testing_CORRECTED.pdf 467.5 KB
slides/029_dynamo.pdf 466.2 KB
slides/Infovis Aragon 8 Visual Perception (Part 2).pdf 449.8 KB
slides/085_optimizing_recursive_programs_in_mr.pdf 437.9 KB
slides/001_context.pdf 429.6 KB
slides/012_physical_optimization.pdf 427.2 KB
slides/Infovis Aragon 3 Data Types (Exercises).pdf 424.1 KB
slides/086_graph_representations.pdf 423.8 KB
slides/052_information_gain.pdf 418.7 KB
slides/045_bayes_rule.pdf 409.4 KB
slides/039_publication_bias.pdf 408.3 KB
slides/080_traversal_tasks.pdf 400.0 KB
slides/078_structural_analysis_tasks.pdf 398.8 KB
slides/023_parallel_databases.pdf 385.5 KB
slides/004_this_course_2.pdf 382.9 KB
slides/011.6_relational_algebra_project_cross_equijoin.pdf 380.8 KB
slides/011.5_relational_algebra_union_diff_select.pdf 364.4 KB
slides/053_overfitting.pdf 346.6 KB
slides/007_logistics.pdf 345.2 KB
slides/019_map_reduce_text_examples.pdf 337.6 KB
slides/037_pig_evaluation.pdf 336.0 KB
slides/Infovis Aragon 9 Visual Perception (Part 3).pdf 330.2 KB
slides/047_overview_machine_learning.pdf 328.5 KB
slides/020_map_reduce_join_social_examples.pdf 326.1 KB
slides/021_map_reduce_matrix_multiply.pdf 318.0 KB
slides/Infovis Aragon 10 Evaluation.pdf 298.4 KB
slides/009_relational_motivation.pdf 294.4 KB
slides/055_bootstrap.pdf 284.7 KB
slides/002_dimensions.pdf 281.8 KB
slides/079_pagerank.pdf 278.6 KB
slides/050_rules_2.pdf 278.5 KB
slides/054_evaluation_thresholds.pdf 270.6 KB
assignments/4_aws-setup.pdf 270.4 KB
assignments/1_instructions.pdf 261.0 KB
assignments/4_quiz.pdf 257.8 KB
assignments/3_js_quiz.pdf 255.4 KB
slides/056_ensembles_and_boosting.pdf 242.2 KB
slides/036_cogroup_join.pdf 233.7 KB
slides/015_scalability.pdf 223.9 KB
docs/Syllabus.pdf 202.9 KB
assignments/2_instructions.pdf 195.4 KB
slides/035_pig_load_filter_group_foreach.pdf 191.0 KB
slides/guests-datameer_beyond_mapreduce.pdf 188.8 KB
slides/058_nearest_neighbor.pdf 187.9 KB
slides/065_kmeans.pdf 181.2 KB
slides/010_relational_algebra_intro.pdf 156.7 KB
slides/038_stats_intro.pdf 148.6 KB
slides/083_prism_example.pdf 147.0 KB
assignments/3_python_instructions.pdf 142.3 KB
docs/Github Instructions.pdf 127.8 KB
docs/Course Logistics.pdf 123.8 KB
slides/044_intro_bayesian.pdf 103.5 KB
slides/024_mapreduce_and_databases.pdf 94.9 KB
slides/018_map_reduce_pseudocode.pdf 94.1 KB
slides/048_intro_machine_learning_2.pdf 93.0 KB
slides/082_relational_algebra_for_graph_tasks.pdf 91.4 KB
docs/Class Virtual Machine.pdf 88.6 KB
slides/057_random_forests.pdf 87.5 KB
docs/Python Resources.pdf 83.6 KB
slides/011.9_user_defined_functions.pdf 61.6 KB
subtitles/8 - 2 - Eventual Consistency (1856).srt 28.6 KB
subtitles/1 - 8 - Big Data (1436).srt 24.9 KB
subtitles/8 - 7 - Example Other Google Systems (1618).srt 24.7 KB
subtitles/3 - 9 - Parallel Databases (1618).srt 24.3 KB
subtitles/3 - 1 - Scalability Basics (1618).srt 23.5 KB
subtitles/8 - 3 - Example Memcached (1637).srt 23.4 KB
subtitles/8 - 11 - Pig Join and Co-Group Join (1610).srt 22.7 KB
subtitles/1 - 5 - This Course Part 1 (1402).srt 22.5 KB
subtitles/1 - 1 - Appetite Whetting Part 1 (1538).srt 22.3 KB
subtitles/8 - 8 - Response to NoSQL Systems (1444).srt 22.1 KB
subtitles/3 - 11 - Experimental Results MR and DB (1501).srt 19.7 KB
subtitles/3 - 8 - MapReduce Implementation Overview (1338).srt 19.7 KB
subtitles/1 - 7 - eScience (1146).srt 19.3 KB
subtitles/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).srt 18.6 KB
subtitles/1 - 2 - Appetite Whetting Part 2 (1344).srt 18.1 KB
subtitles/8 - 9 - Pig Intro (1202).srt 18.0 KB
subtitles/2 - 1 - From Data Models to Databases (1035).srt 17.8 KB
subtitles/3 - 6 - MapReduce Relational Join Social Example (1317).srt 17.7 KB
subtitles/5 - 6 - 06 Information Gain (1143).srt 17.3 KB
subtitles/3 - 3 - MapReduce Abstractions (1117).srt 16.9 KB
subtitles/2 - 3 - Relational Algebra Introduction (1058).srt 16.8 KB
subtitles/5 - 7 - 07 Overfitting (1104).srt 16.6 KB
subtitles/4 - 6 - Recap and Big Data (1139).srt 16.6 KB
subtitles/2 - 9 - Physical Optimization (1114).srt 16.5 KB
subtitles/1 - 4 - Dimensions (1024).srt 16.5 KB
subtitles/1 - 6 - This Course Part 2 (1050).srt 16.4 KB
subtitles/3 - 2 - Parallel Processing Patterns (1126).srt 16.3 KB
subtitles/5 - 11 - 11 Random Forests (1116).srt 16.1 KB
subtitles/8 - 10 - Pig Functions (1141).srt 15.9 KB
subtitles/5 - 12 - 12 k Nearest Neighbors (1143).srt 15.7 KB
subtitles/1 - 3 - Context (930).srt 15.6 KB
subtitles/4 - 8 - Bayes Rule (1153).srt 15.6 KB
subtitles/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt 15.6 KB
subtitles/8 - 6 - Example BigTable (1105).srt 15.6 KB
subtitles/4 - 1 - Statistics Intro (1036).srt 15.5 KB
subtitles/4 - 5 - Multiple Hypothesis Testing (1122).srt 15.5 KB
subtitles/2 - 4 - Relational Algebra Details Union Diff Select (1053).srt 15.4 KB
subtitles/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt 15.2 KB
subtitles/8 - 5 - Example CouchDB (1000).srt 15.2 KB
subtitles/5 - 8 - 08 Evaluation and Cross-Validation (1046).srt 15.1 KB
subtitles/8 - 12 - Pig Evaluation (1011).srt 15.0 KB
subtitles/2 - 11 - Logical Data Independence (1123).srt 14.6 KB
subtitles/4 - 4 - Fraud and Benfords Law (1055).srt 14.3 KB
subtitles/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt 14.2 KB
subtitles/5 - 5 - 05 Decision Trees Entropy (1051).srt 14.2 KB
subtitles/2 - 10 - Declarative Languages (1030).srt 14.1 KB
subtitles/8 - 4 - Example Dynamo (1016).srt 13.6 KB
subtitles/2 - 2 - Motivating Relational Algebra (857).srt 13.3 KB
subtitles/5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt 13.3 KB
subtitles/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt 13.2 KB
subtitles/8 - 1 - NoSQL Introduction (830).srt 13.2 KB
subtitles/9 - 8 - 08 DBSCAN (0913).srt 13.0 KB
subtitles/3 - 5 - MapReduce Text Examples (958).srt 13.0 KB
subtitles/1 - 9 - Guest Lecture Biomedical Informatics (1024).srt 13.0 KB
subtitles/5 - 3 - 03 Rules Part 1 (0919).srt 13.0 KB
subtitles/6 - 2 - 02 Data Types (937).srt 12.6 KB
subtitles/2 - 6 - Relational Algebra Details Theta-Join (834).srt 12.3 KB
subtitles/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt 12.3 KB
subtitles/1 - 10 - Logistics (742).srt 12.2 KB
subtitles/4 - 2 - Publication Bias (845).srt 12.1 KB
subtitles/9 - 1 - 01 Gradient Descent Part 1 (0718).srt 11.3 KB
subtitles/2 - 8 - SQL for Data Science User-Defined Functions (759).srt 11.1 KB
subtitles/3 - 10 - Comparing MapReduce and Databases (0639).srt 11.1 KB
subtitles/4 - 7 - Bayesian Intro (759).srt 10.8 KB
subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt 10.4 KB
subtitles/3 - 4 - MapReduce Pseudocode (754).srt 10.3 KB
subtitles/9 - 6 - 06 Unsupervised Learning (0611).srt 10.2 KB
subtitles/3 - 7 - MapReduce Matrix Multiply Example (931).srt 10.0 KB
subtitles/6 - 1 - 01 Introduction (717).srt 9.9 KB
subtitles/9 - 2 - 02 Gradient Descent Part 2 (0629).srt 9.1 KB
subtitles/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt 8.0 KB
subtitles/6 - 5 - 05 Visual Encoding (Part 1) (638).srt 7.8 KB
subtitles/5 - 4 - 04 Rules Part 2 (0539).srt 7.5 KB
subtitles/9 - 7 - 07 K-means (0556).srt 7.3 KB
subtitles/6 - 7 - 07 Visual Perception (Part 1) (439).srt 6.2 KB
subtitles/5 - 9 - 09 The Bootstrap (0413).srt 5.9 KB
subtitles/6 - 8 - 08 Visual Perception (Part 2) (418).srt 5.2 KB
subtitles/6 - 3 - 03 Data Types (Exercises) (407).srt 4.9 KB
subtitles/6 - 9 - 09 Visual Perception (Part 3) (356).srt 4.4 KB
subtitles/6 - 10 - 10 Evaluation (325).srt 4.2 KB
subtitles/6 - 4 - 04 Data Dimensions (308).srt 3.9 KB
subtitles/6 - 6 - 06 Visual Encoding (Part 2) (254).srt 3.5 KB
virtual machine/tips.txt 856 bytes

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