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virtual machine/Coursera-Data-Science-Ubuntu.ova 2.5 GB
soft/TableauDesktop.exe 91.6 MB
video-extra/Introduction to JSMapreduce.mp4 51.3 MB
video/8 - 2 - Eventual Consistency (1856).mp4 27.2 MB
video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4 26.5 MB
video/1 - 1 - Appetite Whetting Part 1 (1538).mp4 25.1 MB
video/8 - 7 - Example Other Google Systems (1618).mp4 24.9 MB
video/8 - 3 - Example Memcached (1637).mp4 24.4 MB
video/3 - 1 - Scalability Basics (1618).mp4 24.4 MB
video/3 - 9 - Parallel Databases (1618).mp4 23.8 MB
video/8 - 11 - Pig Join and Co-Group Join (1610).mp4 23.5 MB
video/1 - 8 - Big Data (1436).mp4 22.9 MB
video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4 22.3 MB
video/1 - 2 - Appetite Whetting Part 2 (1344).mp4 21.2 MB
video/3 - 11 - Experimental Results MR and DB (1501).mp4 21.1 MB
video/1 - 5 - This Course Part 1 (1402).mp4 20.6 MB
video/8 - 8 - Response to NoSQL Systems (1444).mp4 20.3 MB
video/5 - 6 - 06 Information Gain (1143).mp4 20.2 MB
video/3 - 6 - MapReduce Relational Join Social Example (1317).mp4 19.6 MB
video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4 19.1 MB
video/3 - 8 - MapReduce Implementation Overview (1338).mp4 18.9 MB
video/4 - 8 - Bayes Rule (1153).mp4 18.5 MB
video/4 - 6 - Recap and Big Data (1139).mp4 18.4 MB
video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4 18.1 MB
video/4 - 1 - Statistics Intro (1036).mp4 17.7 MB
video/3 - 3 - MapReduce Abstractions (1117).mp4 17.7 MB
video/5 - 12 - 12 k Nearest Neighbors (1143).mp4 17.7 MB
video/5 - 11 - 11 Random Forests (1116).mp4 17.6 MB
video/1 - 7 - eScience (1146).mp4 17.6 MB
video/4 - 5 - Multiple Hypothesis Testing (1122).mp4 17.3 MB
video/8 - 10 - Pig Functions (1141).mp4 17.3 MB
video/3 - 2 - Parallel Processing Patterns (1126).mp4 17.2 MB
video/5 - 7 - 07 Overfitting (1104).mp4 17.0 MB
video/7 - 8 - 08 PRISM Example in Datalog (1110).mp4 17.0 MB
video/3 - 5 - MapReduce Text Examples (958).mp4 16.9 MB
video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4 16.8 MB
video/2 - 9 - Physical Optimization (1114).mp4 16.8 MB
video/4 - 4 - Fraud and Benfords Law (1055).mp4 16.8 MB
video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4 16.6 MB
video/2 - 3 - Relational Algebra Introduction (1058).mp4 16.5 MB
video/5 - 5 - 05 Decision Trees Entropy (1051).mp4 16.5 MB
video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4 16.3 MB
video/8 - 6 - Example BigTable (1105).mp4 16.2 MB
video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4 16.2 MB
video/8 - 9 - Pig Intro (1202).mp4 16.1 MB
video/2 - 10 - Declarative Languages (1030).mp4 16.0 MB
video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4 15.8 MB
video/2 - 1 - From Data Models to Databases (1035).mp4 15.6 MB
video/8 - 12 - Pig Evaluation (1011).mp4 15.1 MB
video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4 14.8 MB
video/1 - 6 - This Course Part 2 (1050).mp4 14.8 MB
video/8 - 5 - Example CouchDB (1000).mp4 14.7 MB
video/2 - 11 - Logical Data Independence (1123).mp4 14.7 MB
video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4 14.6 MB
video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4 14.5 MB
video/8 - 4 - Example Dynamo (1016).mp4 14.5 MB
video/9 - 8 - 08 DBSCAN (0913).mp4 14.4 MB
video/6 - 2 - 02 Data Types (937).mp4 14.1 MB
video/1 - 3 - Context (930).mp4 14.1 MB
video/3 - 7 - MapReduce Matrix Multiply Example (931).mp4 13.8 MB
video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4 13.6 MB
video/4 - 2 - Publication Bias (845).mp4 13.6 MB
video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4 13.6 MB
video/5 - 3 - 03 Rules Part 1 (0919).mp4 13.5 MB
video/8 - 1 - NoSQL Introduction (830).mp4 13.4 MB
video/1 - 4 - Dimensions (1024).mp4 13.4 MB
video/2 - 2 - Motivating Relational Algebra (857).mp4 13.3 MB
video/4 - 7 - Bayesian Intro (759).mp4 13.1 MB
video/3 - 4 - MapReduce Pseudocode (754).mp4 12.9 MB
video/2 - 6 - Relational Algebra Details Theta-Join (834).mp4 12.8 MB
video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4 12.8 MB
video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4 12.5 MB
video/7 - 2 - 02 Structure Degree Histograms (0814).mp4 12.4 MB
video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4 12.2 MB
video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4 12.2 MB
video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp4 11.7 MB
video/1 - 10 - Logistics (742).mp4 11.4 MB
video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4 10.8 MB
video/6 - 1 - 01 Introduction (717).mp4 10.7 MB
video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp4 10.6 MB
video/9 - 4 - 04 Intuition for Regularization (0659).mp4 10.4 MB
video/7 - 11 - 11 Graph Representations (0651).mp4 10.1 MB
video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4 10.1 MB
video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp4 10.1 MB
video/7 - 4 - 04 Traversal PageRank (0637).mp4 9.8 MB
video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp4 9.5 MB
video/3 - 10 - Comparing MapReduce and Databases (0639).mp4 9.4 MB
video/7 - 1 - 01 Graph Basics (0622).mp4 9.2 MB
video/9 - 6 - 06 Unsupervised Learning (0611).mp4 9.1 MB
video/5 - 4 - 04 Rules Part 2 (0539).mp4 9.1 MB
video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4 8.4 MB
video/9 - 7 - 07 K-means (0556).mp4 8.4 MB
video/5 - 9 - 09 The Bootstrap (0413).mp4 7.0 MB
video/6 - 7 - 07 Visual Perception (Part 1) (439).mp4 6.9 MB
assignments/6_VisualizationAssignment.twbx 6.3 MB
video/6 - 8 - 08 Visual Perception (Part 2) (418).mp4 6.3 MB
video/6 - 3 - 03 Data Types (Exercises) (407).mp4 6.2 MB
video/6 - 9 - 09 Visual Perception (Part 3) (356).mp4 5.6 MB
video/6 - 10 - 10 Evaluation (325).mp4 5.3 MB
video/6 - 4 - 04 Data Dimensions (308).mp4 4.6 MB
video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp4 4.4 MB
slides/016_parallel_thinking.pdf 3.3 MB
slides/005_escience.pdf 2.7 MB
slides/017_map_reduce_abstraction.pdf 2.3 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 1.3 MB
slides/000b_appetite_whetting_2.pdf 1.2 MB
slides/000_appetite_whetting_1.pdf 1.0 MB
slides/Infovis Aragon 2 Data Types.pdf 977.6 kB
slides/Infovis Aragon 7 Visual Perception (Part 1).pdf 905.9 kB
docs/Running Tableau on AWS.pdf 895.4 kB
slides/087_pagerank_mapreduce_pregel.pdf 822.9 kB
slides/Infovis Aragon 5 Visual Encoding (Part 1).pdf 768.0 kB
slides/033_nosql_response.pdf 764.5 kB
slides/guests-kiji-uw-data-science.pdf 753.7 kB
slides/025_mapreduce_and_databases_experiments.pdf 747.6 kB
slides/032_other_google_systems.pdf 746.4 kB
slides/027_eventual_consistency.pdf 734.9 kB
slides/003_this_course_1.pdf 721.1 kB
slides/Infovis Aragon 6 Visual Encoding (Part 2).pdf 701.8 kB
slides/Infovis Aragon 1 Introduction.pdf 689.7 kB
slides/Infovis Aragon 4 Data Dimensions.pdf 686.9 kB
slides/013_declarative_languages.pdf 677.2 kB
slides/043_recap_and_big_data.pdf 675.2 kB
slides/061_intuition_logistic_regression_svms.pdf 655.7 kB
slides/066_dbscan.pdf 651.8 kB
slides/008_data_models.pdf 635.1 kB
slides/060_gradient_descent_part_2.pdf 609.4 kB
slides/028_memcached.pdf 599.9 kB
slides/011.8_interpreting_complicated_sql.pdf 590.9 kB
slides/084_evaluating_recursive_programs.pdf 590.8 kB
slides/040_effect_size_meta_analysis_heteroskedasticity.pdf 581.6 kB
slides/030_couchdb.pdf 575.7 kB
slides/064_unsupervised_learning_copy.pdf 564.2 kB
slides/034_pig_intro.pdf 539.7 kB
slides/026_nosql_intro.pdf 537.8 kB
slides/022_map_reduce_implementation_overview.pdf 512.9 kB
slides/011.7_theta_join.pdf 503.9 kB
slides/063_stochastic_gradient_descent.pdf 502.1 kB
slides/062_intuition_regularization.pdf 501.9 kB
slides/049_rules_1.pdf 495.8 kB
slides/031_bigtable.pdf 494.8 kB
slides/077b_graph_histograms.pdf 493.4 kB
slides/051_intro_trees.pdf 488.1 kB
slides/014_logical_data_independence.pdf 480.2 kB
slides/081_pattern_matching.pdf 478.7 kB
slides/042_multiple_hypothesis_testing_CORRECTED.pdf 478.7 kB
slides/029_dynamo.pdf 477.4 kB
slides/Infovis Aragon 8 Visual Perception (Part 2).pdf 460.6 kB
slides/085_optimizing_recursive_programs_in_mr.pdf 448.4 kB
slides/001_context.pdf 439.9 kB
slides/012_physical_optimization.pdf 437.4 kB
slides/Infovis Aragon 3 Data Types (Exercises).pdf 434.2 kB
slides/086_graph_representations.pdf 433.9 kB
slides/052_information_gain.pdf 428.8 kB
slides/045_bayes_rule.pdf 419.2 kB
slides/039_publication_bias.pdf 418.1 kB
slides/080_traversal_tasks.pdf 409.6 kB
slides/078_structural_analysis_tasks.pdf 408.4 kB
slides/023_parallel_databases.pdf 394.7 kB
slides/004_this_course_2.pdf 392.1 kB
slides/011.6_relational_algebra_project_cross_equijoin.pdf 389.9 kB
slides/011.5_relational_algebra_union_diff_select.pdf 373.1 kB
slides/053_overfitting.pdf 354.9 kB
slides/007_logistics.pdf 353.5 kB
slides/019_map_reduce_text_examples.pdf 345.7 kB
slides/037_pig_evaluation.pdf 344.1 kB
slides/Infovis Aragon 9 Visual Perception (Part 3).pdf 338.2 kB
slides/047_overview_machine_learning.pdf 336.4 kB
slides/020_map_reduce_join_social_examples.pdf 333.9 kB
slides/021_map_reduce_matrix_multiply.pdf 325.7 kB
slides/Infovis Aragon 10 Evaluation.pdf 305.5 kB
slides/009_relational_motivation.pdf 301.4 kB
slides/055_bootstrap.pdf 291.5 kB
slides/002_dimensions.pdf 288.5 kB
slides/079_pagerank.pdf 285.3 kB
slides/050_rules_2.pdf 285.2 kB
slides/054_evaluation_thresholds.pdf 277.1 kB
assignments/4_aws-setup.pdf 276.9 kB
assignments/1_instructions.pdf 267.2 kB
assignments/4_quiz.pdf 263.9 kB
assignments/3_js_quiz.pdf 261.6 kB
slides/056_ensembles_and_boosting.pdf 248.0 kB
slides/036_cogroup_join.pdf 239.3 kB
slides/015_scalability.pdf 229.3 kB
docs/Syllabus.pdf 207.7 kB
assignments/2_instructions.pdf 200.1 kB
slides/035_pig_load_filter_group_foreach.pdf 195.6 kB
slides/guests-datameer_beyond_mapreduce.pdf 193.3 kB
slides/058_nearest_neighbor.pdf 192.4 kB
slides/065_kmeans.pdf 185.5 kB
slides/010_relational_algebra_intro.pdf 160.5 kB
slides/038_stats_intro.pdf 152.2 kB
slides/083_prism_example.pdf 150.6 kB
assignments/3_python_instructions.pdf 145.7 kB
docs/Github Instructions.pdf 130.9 kB
docs/Course Logistics.pdf 126.8 kB
slides/044_intro_bayesian.pdf 106.0 kB
slides/024_mapreduce_and_databases.pdf 97.1 kB
slides/018_map_reduce_pseudocode.pdf 96.4 kB
slides/048_intro_machine_learning_2.pdf 95.2 kB
slides/082_relational_algebra_for_graph_tasks.pdf 93.6 kB
docs/Class Virtual Machine.pdf 90.7 kB
slides/057_random_forests.pdf 89.6 kB
docs/Python Resources.pdf 85.6 kB
slides/011.9_user_defined_functions.pdf 63.1 kB
subtitles/8 - 2 - Eventual Consistency (1856).srt 29.3 kB
subtitles/1 - 8 - Big Data (1436).srt 25.5 kB
subtitles/8 - 7 - Example Other Google Systems (1618).srt 25.3 kB
subtitles/3 - 9 - Parallel Databases (1618).srt 24.9 kB
subtitles/3 - 1 - Scalability Basics (1618).srt 24.1 kB
subtitles/8 - 3 - Example Memcached (1637).srt 23.9 kB
subtitles/8 - 11 - Pig Join and Co-Group Join (1610).srt 23.2 kB
subtitles/1 - 5 - This Course Part 1 (1402).srt 23.0 kB
subtitles/1 - 1 - Appetite Whetting Part 1 (1538).srt 22.9 kB
subtitles/8 - 8 - Response to NoSQL Systems (1444).srt 22.6 kB
subtitles/3 - 11 - Experimental Results MR and DB (1501).srt 20.2 kB
subtitles/3 - 8 - MapReduce Implementation Overview (1338).srt 20.2 kB
subtitles/1 - 7 - eScience (1146).srt 19.7 kB
subtitles/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).srt 19.0 kB
subtitles/1 - 2 - Appetite Whetting Part 2 (1344).srt 18.5 kB
subtitles/8 - 9 - Pig Intro (1202).srt 18.5 kB
subtitles/2 - 1 - From Data Models to Databases (1035).srt 18.2 kB
subtitles/3 - 6 - MapReduce Relational Join Social Example (1317).srt 18.2 kB
subtitles/5 - 6 - 06 Information Gain (1143).srt 17.7 kB
subtitles/3 - 3 - MapReduce Abstractions (1117).srt 17.3 kB
subtitles/2 - 3 - Relational Algebra Introduction (1058).srt 17.2 kB
subtitles/5 - 7 - 07 Overfitting (1104).srt 17.0 kB
subtitles/4 - 6 - Recap and Big Data (1139).srt 17.0 kB
subtitles/2 - 9 - Physical Optimization (1114).srt 16.9 kB
subtitles/1 - 4 - Dimensions (1024).srt 16.9 kB
subtitles/1 - 6 - This Course Part 2 (1050).srt 16.8 kB
subtitles/3 - 2 - Parallel Processing Patterns (1126).srt 16.7 kB
subtitles/5 - 11 - 11 Random Forests (1116).srt 16.5 kB
subtitles/8 - 10 - Pig Functions (1141).srt 16.3 kB
subtitles/5 - 12 - 12 k Nearest Neighbors (1143).srt 16.0 kB
subtitles/1 - 3 - Context (930).srt 16.0 kB
subtitles/4 - 8 - Bayes Rule (1153).srt 16.0 kB
subtitles/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt 16.0 kB
subtitles/8 - 6 - Example BigTable (1105).srt 15.9 kB
subtitles/4 - 1 - Statistics Intro (1036).srt 15.9 kB
subtitles/4 - 5 - Multiple Hypothesis Testing (1122).srt 15.9 kB
subtitles/2 - 4 - Relational Algebra Details Union Diff Select (1053).srt 15.7 kB
subtitles/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt 15.6 kB
subtitles/8 - 5 - Example CouchDB (1000).srt 15.5 kB
subtitles/5 - 8 - 08 Evaluation and Cross-Validation (1046).srt 15.4 kB
subtitles/8 - 12 - Pig Evaluation (1011).srt 15.4 kB
subtitles/2 - 11 - Logical Data Independence (1123).srt 15.0 kB
subtitles/4 - 4 - Fraud and Benfords Law (1055).srt 14.6 kB
subtitles/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt 14.6 kB
subtitles/5 - 5 - 05 Decision Trees Entropy (1051).srt 14.5 kB
subtitles/2 - 10 - Declarative Languages (1030).srt 14.4 kB
subtitles/8 - 4 - Example Dynamo (1016).srt 13.9 kB
subtitles/2 - 2 - Motivating Relational Algebra (857).srt 13.7 kB
subtitles/5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt 13.6 kB
subtitles/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt 13.5 kB
subtitles/8 - 1 - NoSQL Introduction (830).srt 13.5 kB
subtitles/9 - 8 - 08 DBSCAN (0913).srt 13.3 kB
subtitles/3 - 5 - MapReduce Text Examples (958).srt 13.3 kB
subtitles/1 - 9 - Guest Lecture Biomedical Informatics (1024).srt 13.3 kB
subtitles/5 - 3 - 03 Rules Part 1 (0919).srt 13.3 kB
subtitles/6 - 2 - 02 Data Types (937).srt 12.9 kB
subtitles/2 - 6 - Relational Algebra Details Theta-Join (834).srt 12.6 kB
subtitles/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt 12.6 kB
subtitles/1 - 10 - Logistics (742).srt 12.5 kB
subtitles/4 - 2 - Publication Bias (845).srt 12.4 kB
subtitles/9 - 1 - 01 Gradient Descent Part 1 (0718).srt 11.5 kB
subtitles/2 - 8 - SQL for Data Science User-Defined Functions (759).srt 11.4 kB
subtitles/3 - 10 - Comparing MapReduce and Databases (0639).srt 11.3 kB
subtitles/4 - 7 - Bayesian Intro (759).srt 11.1 kB
subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt 10.6 kB
subtitles/3 - 4 - MapReduce Pseudocode (754).srt 10.5 kB
subtitles/9 - 6 - 06 Unsupervised Learning (0611).srt 10.4 kB
subtitles/3 - 7 - MapReduce Matrix Multiply Example (931).srt 10.2 kB
subtitles/6 - 1 - 01 Introduction (717).srt 10.1 kB
subtitles/9 - 2 - 02 Gradient Descent Part 2 (0629).srt 9.3 kB
subtitles/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt 8.2 kB
subtitles/6 - 5 - 05 Visual Encoding (Part 1) (638).srt 8.0 kB
subtitles/5 - 4 - 04 Rules Part 2 (0539).srt 7.7 kB
subtitles/9 - 7 - 07 K-means (0556).srt 7.5 kB
subtitles/6 - 7 - 07 Visual Perception (Part 1) (439).srt 6.4 kB
subtitles/5 - 9 - 09 The Bootstrap (0413).srt 6.1 kB
subtitles/6 - 8 - 08 Visual Perception (Part 2) (418).srt 5.4 kB
subtitles/6 - 3 - 03 Data Types (Exercises) (407).srt 5.0 kB
subtitles/6 - 9 - 09 Visual Perception (Part 3) (356).srt 4.5 kB
subtitles/6 - 10 - 10 Evaluation (325).srt 4.3 kB
subtitles/6 - 4 - 04 Data Dimensions (308).srt 4.0 kB
subtitles/6 - 6 - 06 Visual Encoding (Part 2) (254).srt 3.6 kB
virtual machine/tips.txt 856 Bytes

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北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

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亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

磁力管家