Titanfall 2 Deluxe Edition V2 - CorePack | Hawaii Five-0 saison 3 épisode 24 -V - VF | 105 House
Language:
Download from Usenet.nl
Files List
virtual machine/Coursera-Data-Science-Ubuntu.ova 2.34 GB
soft/TableauDesktop.exe 87.36 MB
video-extra/Introduction to JSMapreduce.mp4 48.88 MB
video/8 - 2 - Eventual Consistency (1856).mp4 25.95 MB
video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4 25.30 MB
video/1 - 1 - Appetite Whetting Part 1 (1538).mp4 23.90 MB
video/8 - 7 - Example Other Google Systems (1618).mp4 23.73 MB
video/8 - 3 - Example Memcached (1637).mp4 23.31 MB
video/3 - 1 - Scalability Basics (1618).mp4 23.26 MB
video/3 - 9 - Parallel Databases (1618).mp4 22.69 MB
video/8 - 11 - Pig Join and Co-Group Join (1610).mp4 22.43 MB
video/1 - 8 - Big Data (1436).mp4 21.86 MB
video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4 21.26 MB
video/1 - 2 - Appetite Whetting Part 2 (1344).mp4 20.23 MB
video/3 - 11 - Experimental Results MR and DB (1501).mp4 20.16 MB
video/1 - 5 - This Course Part 1 (1402).mp4 19.68 MB
video/8 - 8 - Response to NoSQL Systems (1444).mp4 19.37 MB
video/5 - 6 - 06 Information Gain (1143).mp4 19.25 MB
video/3 - 6 - MapReduce Relational Join Social Example (1317).mp4 18.74 MB
video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4 18.23 MB
video/3 - 8 - MapReduce Implementation Overview (1338).mp4 18.03 MB
video/4 - 8 - Bayes Rule (1153).mp4 17.67 MB
video/4 - 6 - Recap and Big Data (1139).mp4 17.50 MB
video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4 17.23 MB
video/4 - 1 - Statistics Intro (1036).mp4 16.87 MB
video/3 - 3 - MapReduce Abstractions (1117).mp4 16.86 MB
video/5 - 12 - 12 k Nearest Neighbors (1143).mp4 16.85 MB
video/5 - 11 - 11 Random Forests (1116).mp4 16.79 MB
video/1 - 7 - eScience (1146).mp4 16.75 MB
video/4 - 5 - Multiple Hypothesis Testing (1122).mp4 16.53 MB
video/8 - 10 - Pig Functions (1141).mp4 16.48 MB
video/3 - 2 - Parallel Processing Patterns (1126).mp4 16.39 MB
video/5 - 7 - 07 Overfitting (1104).mp4 16.23 MB
video/7 - 8 - 08 PRISM Example in Datalog (1110).mp4 16.20 MB
video/3 - 5 - MapReduce Text Examples (958).mp4 16.16 MB
video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4 16.07 MB
video/2 - 9 - Physical Optimization (1114).mp4 16.04 MB
video/4 - 4 - Fraud and Benfords Law (1055).mp4 15.98 MB
video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4 15.86 MB
video/2 - 3 - Relational Algebra Introduction (1058).mp4 15.77 MB
video/5 - 5 - 05 Decision Trees Entropy (1051).mp4 15.72 MB
video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4 15.54 MB
video/8 - 6 - Example BigTable (1105).mp4 15.49 MB
video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4 15.41 MB
video/8 - 9 - Pig Intro (1202).mp4 15.37 MB
video/2 - 10 - Declarative Languages (1030).mp4 15.28 MB
video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4 15.04 MB
video/2 - 1 - From Data Models to Databases (1035).mp4 14.89 MB
video/8 - 12 - Pig Evaluation (1011).mp4 14.38 MB
video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4 14.14 MB
video/1 - 6 - This Course Part 2 (1050).mp4 14.09 MB
video/8 - 5 - Example CouchDB (1000).mp4 14.04 MB
video/2 - 11 - Logical Data Independence (1123).mp4 14.02 MB
video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4 13.90 MB
video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4 13.83 MB
video/8 - 4 - Example Dynamo (1016).mp4 13.78 MB
video/9 - 8 - 08 DBSCAN (0913).mp4 13.71 MB
video/6 - 2 - 02 Data Types (937).mp4 13.46 MB
video/1 - 3 - Context (930).mp4 13.41 MB
video/3 - 7 - MapReduce Matrix Multiply Example (931).mp4 13.20 MB
video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4 13.01 MB
video/4 - 2 - Publication Bias (845).mp4 13.01 MB
video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4 12.93 MB
video/5 - 3 - 03 Rules Part 1 (0919).mp4 12.88 MB
video/8 - 1 - NoSQL Introduction (830).mp4 12.79 MB
video/1 - 4 - Dimensions (1024).mp4 12.77 MB
video/2 - 2 - Motivating Relational Algebra (857).mp4 12.66 MB
video/4 - 7 - Bayesian Intro (759).mp4 12.51 MB
video/3 - 4 - MapReduce Pseudocode (754).mp4 12.28 MB
video/2 - 6 - Relational Algebra Details Theta-Join (834).mp4 12.20 MB
video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4 12.16 MB
video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4 11.97 MB
video/7 - 2 - 02 Structure Degree Histograms (0814).mp4 11.81 MB
video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4 11.64 MB
video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4 11.59 MB
video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp4 11.16 MB
video/1 - 10 - Logistics (742).mp4 10.90 MB
video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4 10.30 MB
video/6 - 1 - 01 Introduction (717).mp4 10.22 MB
video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp4 10.14 MB
video/9 - 4 - 04 Intuition for Regularization (0659).mp4 9.90 MB
video/7 - 11 - 11 Graph Representations (0651).mp4 9.66 MB
video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4 9.62 MB
video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp4 9.61 MB
video/7 - 4 - 04 Traversal PageRank (0637).mp4 9.39 MB
video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp4 9.07 MB
video/3 - 10 - Comparing MapReduce and Databases (0639).mp4 8.95 MB
video/7 - 1 - 01 Graph Basics (0622).mp4 8.74 MB
video/9 - 6 - 06 Unsupervised Learning (0611).mp4 8.69 MB
video/5 - 4 - 04 Rules Part 2 (0539).mp4 8.64 MB
video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4 8.03 MB
video/9 - 7 - 07 K-means (0556).mp4 7.97 MB
video/5 - 9 - 09 The Bootstrap (0413).mp4 6.64 MB
video/6 - 7 - 07 Visual Perception (Part 1) (439).mp4 6.54 MB
assignments/6_VisualizationAssignment.twbx 6.04 MB
video/6 - 8 - 08 Visual Perception (Part 2) (418).mp4 5.99 MB
video/6 - 3 - 03 Data Types (Exercises) (407).mp4 5.95 MB
video/6 - 9 - 09 Visual Perception (Part 3) (356).mp4 5.31 MB
video/6 - 10 - 10 Evaluation (325).mp4 5.04 MB
video/6 - 4 - 04 Data Dimensions (308).mp4 4.36 MB
video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp4 4.23 MB
slides/016_parallel_thinking.pdf 3.11 MB
slides/005_escience.pdf 2.58 MB
slides/017_map_reduce_abstraction.pdf 2.18 MB
slides/059_gradient_descent_part_1.pdf 1.36 MB
slides/006_big_data.pdf 1.26 MB
slides/041_fraud_benfords_law.pdf 1.22 MB
slides/000b_appetite_whetting_2.pdf 1.14 MB
slides/000_appetite_whetting_1.pdf 1.00 MB
slides/Infovis Aragon 2 Data Types.pdf 954.69 KB
slides/Infovis Aragon 7 Visual Perception (Part 1).pdf 884.68 KB
docs/Running Tableau on AWS.pdf 874.43 KB
slides/087_pagerank_mapreduce_pregel.pdf 803.64 KB
slides/Infovis Aragon 5 Visual Encoding (Part 1).pdf 750.04 KB
slides/033_nosql_response.pdf 746.59 KB
slides/guests-kiji-uw-data-science.pdf 736.07 KB
slides/025_mapreduce_and_databases_experiments.pdf 730.08 KB
slides/032_other_google_systems.pdf 728.87 KB
slides/027_eventual_consistency.pdf 717.72 KB
slides/003_this_course_1.pdf 704.24 KB
slides/Infovis Aragon 6 Visual Encoding (Part 2).pdf 685.36 KB
slides/Infovis Aragon 1 Introduction.pdf 673.51 KB
slides/Infovis Aragon 4 Data Dimensions.pdf 670.77 KB
slides/013_declarative_languages.pdf 661.33 KB
slides/043_recap_and_big_data.pdf 659.37 KB
slides/061_intuition_logistic_regression_svms.pdf 640.32 KB
slides/066_dbscan.pdf 636.50 KB
slides/008_data_models.pdf 620.24 KB
slides/060_gradient_descent_part_2.pdf 595.09 KB
slides/028_memcached.pdf 585.81 KB
slides/011.8_interpreting_complicated_sql.pdf 577.04 KB
slides/084_evaluating_recursive_programs.pdf 576.99 KB
slides/040_effect_size_meta_analysis_heteroskedasticity.pdf 568.00 KB
slides/030_couchdb.pdf 562.20 KB
slides/064_unsupervised_learning_copy.pdf 550.94 KB
slides/034_pig_intro.pdf 527.08 KB
slides/026_nosql_intro.pdf 525.15 KB
slides/022_map_reduce_implementation_overview.pdf 500.90 KB
slides/011.7_theta_join.pdf 492.09 KB
slides/063_stochastic_gradient_descent.pdf 490.33 KB
slides/062_intuition_regularization.pdf 490.13 KB
slides/049_rules_1.pdf 484.23 KB
slides/031_bigtable.pdf 483.18 KB
slides/077b_graph_histograms.pdf 481.81 KB
slides/051_intro_trees.pdf 476.63 KB
slides/014_logical_data_independence.pdf 468.99 KB
slides/081_pattern_matching.pdf 467.50 KB
slides/042_multiple_hypothesis_testing_CORRECTED.pdf 467.45 KB
slides/029_dynamo.pdf 466.19 KB
slides/Infovis Aragon 8 Visual Perception (Part 2).pdf 449.81 KB
slides/085_optimizing_recursive_programs_in_mr.pdf 437.88 KB
slides/001_context.pdf 429.57 KB
slides/012_physical_optimization.pdf 427.16 KB
slides/Infovis Aragon 3 Data Types (Exercises).pdf 424.06 KB
slides/086_graph_representations.pdf 423.76 KB
slides/052_information_gain.pdf 418.71 KB
slides/045_bayes_rule.pdf 409.41 KB
slides/039_publication_bias.pdf 408.27 KB
slides/080_traversal_tasks.pdf 399.97 KB
slides/078_structural_analysis_tasks.pdf 398.83 KB
slides/023_parallel_databases.pdf 385.47 KB
slides/004_this_course_2.pdf 382.94 KB
slides/011.6_relational_algebra_project_cross_equijoin.pdf 380.76 KB
slides/011.5_relational_algebra_union_diff_select.pdf 364.37 KB
slides/053_overfitting.pdf 346.55 KB
slides/007_logistics.pdf 345.23 KB
slides/019_map_reduce_text_examples.pdf 337.57 KB
slides/037_pig_evaluation.pdf 336.05 KB
slides/Infovis Aragon 9 Visual Perception (Part 3).pdf 330.23 KB
slides/047_overview_machine_learning.pdf 328.51 KB
slides/020_map_reduce_join_social_examples.pdf 326.08 KB
slides/021_map_reduce_matrix_multiply.pdf 318.03 KB
slides/Infovis Aragon 10 Evaluation.pdf 298.38 KB
slides/009_relational_motivation.pdf 294.37 KB
slides/055_bootstrap.pdf 284.71 KB
slides/002_dimensions.pdf 281.77 KB
slides/079_pagerank.pdf 278.59 KB
slides/050_rules_2.pdf 278.50 KB
slides/054_evaluation_thresholds.pdf 270.59 KB
assignments/4_aws-setup.pdf 270.41 KB
assignments/1_instructions.pdf 260.96 KB
assignments/4_quiz.pdf 257.76 KB
assignments/3_js_quiz.pdf 255.42 KB
slides/056_ensembles_and_boosting.pdf 242.18 KB
slides/036_cogroup_join.pdf 233.74 KB
slides/015_scalability.pdf 223.89 KB
docs/Syllabus.pdf 202.87 KB
assignments/2_instructions.pdf 195.44 KB
slides/035_pig_load_filter_group_foreach.pdf 191.03 KB
slides/guests-datameer_beyond_mapreduce.pdf 188.82 KB
slides/058_nearest_neighbor.pdf 187.86 KB
slides/065_kmeans.pdf 181.16 KB
slides/010_relational_algebra_intro.pdf 156.73 KB
slides/038_stats_intro.pdf 148.64 KB
slides/083_prism_example.pdf 147.04 KB
assignments/3_python_instructions.pdf 142.29 KB
docs/Github Instructions.pdf 127.83 KB
docs/Course Logistics.pdf 123.80 KB
slides/044_intro_bayesian.pdf 103.51 KB
slides/024_mapreduce_and_databases.pdf 94.87 KB
slides/018_map_reduce_pseudocode.pdf 94.11 KB
slides/048_intro_machine_learning_2.pdf 92.96 KB
slides/082_relational_algebra_for_graph_tasks.pdf 91.43 KB
docs/Class Virtual Machine.pdf 88.58 KB
slides/057_random_forests.pdf 87.54 KB
docs/Python Resources.pdf 83.55 KB
slides/011.9_user_defined_functions.pdf 61.58 KB
subtitles/8 - 2 - Eventual Consistency (1856).srt 28.59 KB
subtitles/1 - 8 - Big Data (1436).srt 24.88 KB
subtitles/8 - 7 - Example Other Google Systems (1618).srt 24.67 KB
subtitles/3 - 9 - Parallel Databases (1618).srt 24.28 KB
subtitles/3 - 1 - Scalability Basics (1618).srt 23.52 KB
subtitles/8 - 3 - Example Memcached (1637).srt 23.38 KB
subtitles/8 - 11 - Pig Join and Co-Group Join (1610).srt 22.69 KB
subtitles/1 - 5 - This Course Part 1 (1402).srt 22.48 KB
subtitles/1 - 1 - Appetite Whetting Part 1 (1538).srt 22.32 KB
subtitles/8 - 8 - Response to NoSQL Systems (1444).srt 22.05 KB
subtitles/3 - 11 - Experimental Results MR and DB (1501).srt 19.72 KB
subtitles/3 - 8 - MapReduce Implementation Overview (1338).srt 19.71 KB
subtitles/1 - 7 - eScience (1146).srt 19.26 KB
subtitles/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).srt 18.60 KB
subtitles/1 - 2 - Appetite Whetting Part 2 (1344).srt 18.06 KB
subtitles/8 - 9 - Pig Intro (1202).srt 18.05 KB
subtitles/2 - 1 - From Data Models to Databases (1035).srt 17.80 KB
subtitles/3 - 6 - MapReduce Relational Join Social Example (1317).srt 17.75 KB
subtitles/5 - 6 - 06 Information Gain (1143).srt 17.33 KB
subtitles/3 - 3 - MapReduce Abstractions (1117).srt 16.93 KB
subtitles/2 - 3 - Relational Algebra Introduction (1058).srt 16.84 KB
subtitles/5 - 7 - 07 Overfitting (1104).srt 16.63 KB
subtitles/4 - 6 - Recap and Big Data (1139).srt 16.56 KB
subtitles/2 - 9 - Physical Optimization (1114).srt 16.54 KB
subtitles/1 - 4 - Dimensions (1024).srt 16.52 KB
subtitles/1 - 6 - This Course Part 2 (1050).srt 16.45 KB
subtitles/3 - 2 - Parallel Processing Patterns (1126).srt 16.34 KB
subtitles/5 - 11 - 11 Random Forests (1116).srt 16.07 KB
subtitles/8 - 10 - Pig Functions (1141).srt 15.90 KB
subtitles/5 - 12 - 12 k Nearest Neighbors (1143).srt 15.66 KB
subtitles/1 - 3 - Context (930).srt 15.64 KB
subtitles/4 - 8 - Bayes Rule (1153).srt 15.62 KB
subtitles/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).srt 15.59 KB
subtitles/8 - 6 - Example BigTable (1105).srt 15.56 KB
subtitles/4 - 1 - Statistics Intro (1036).srt 15.54 KB
subtitles/4 - 5 - Multiple Hypothesis Testing (1122).srt 15.51 KB
subtitles/2 - 4 - Relational Algebra Details Union Diff Select (1053).srt 15.37 KB
subtitles/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).srt 15.22 KB
subtitles/8 - 5 - Example CouchDB (1000).srt 15.15 KB
subtitles/5 - 8 - 08 Evaluation and Cross-Validation (1046).srt 15.06 KB
subtitles/8 - 12 - Pig Evaluation (1011).srt 14.99 KB
subtitles/2 - 11 - Logical Data Independence (1123).srt 14.65 KB
subtitles/4 - 4 - Fraud and Benfords Law (1055).srt 14.29 KB
subtitles/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).srt 14.23 KB
subtitles/5 - 5 - 05 Decision Trees Entropy (1051).srt 14.15 KB
subtitles/2 - 10 - Declarative Languages (1030).srt 14.06 KB
subtitles/8 - 4 - Example Dynamo (1016).srt 13.62 KB
subtitles/2 - 2 - Motivating Relational Algebra (857).srt 13.35 KB
subtitles/5 - 10 - 10 Ensembles Bagging and Boosting (0919).srt 13.31 KB
subtitles/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).srt 13.22 KB
subtitles/8 - 1 - NoSQL Introduction (830).srt 13.18 KB
subtitles/9 - 8 - 08 DBSCAN (0913).srt 13.03 KB
subtitles/3 - 5 - MapReduce Text Examples (958).srt 12.98 KB
subtitles/1 - 9 - Guest Lecture Biomedical Informatics (1024).srt 12.97 KB
subtitles/5 - 3 - 03 Rules Part 1 (0919).srt 12.95 KB
subtitles/6 - 2 - 02 Data Types (937).srt 12.63 KB
subtitles/2 - 6 - Relational Algebra Details Theta-Join (834).srt 12.32 KB
subtitles/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).srt 12.31 KB
subtitles/1 - 10 - Logistics (742).srt 12.16 KB
subtitles/4 - 2 - Publication Bias (845).srt 12.10 KB
subtitles/9 - 1 - 01 Gradient Descent Part 1 (0718).srt 11.27 KB
subtitles/2 - 8 - SQL for Data Science User-Defined Functions (759).srt 11.12 KB
subtitles/3 - 10 - Comparing MapReduce and Databases (0639).srt 11.06 KB
subtitles/4 - 7 - Bayesian Intro (759).srt 10.81 KB
subtitles/9 - 4 - 04 Intuition for Regularization (0659).srt 10.39 KB
subtitles/3 - 4 - MapReduce Pseudocode (754).srt 10.26 KB
subtitles/9 - 6 - 06 Unsupervised Learning (0611).srt 10.18 KB
subtitles/3 - 7 - MapReduce Matrix Multiply Example (931).srt 10.01 KB
subtitles/6 - 1 - 01 Introduction (717).srt 9.86 KB
subtitles/9 - 2 - 02 Gradient Descent Part 2 (0629).srt 9.05 KB
subtitles/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).srt 8.01 KB
subtitles/6 - 5 - 05 Visual Encoding (Part 1) (638).srt 7.81 KB
subtitles/5 - 4 - 04 Rules Part 2 (0539).srt 7.49 KB
subtitles/9 - 7 - 07 K-means (0556).srt 7.30 KB
subtitles/6 - 7 - 07 Visual Perception (Part 1) (439).srt 6.23 KB
subtitles/5 - 9 - 09 The Bootstrap (0413).srt 5.94 KB
subtitles/6 - 8 - 08 Visual Perception (Part 2) (418).srt 5.23 KB
subtitles/6 - 3 - 03 Data Types (Exercises) (407).srt 4.90 KB
subtitles/6 - 9 - 09 Visual Perception (Part 3) (356).srt 4.41 KB
subtitles/6 - 10 - 10 Evaluation (325).srt 4.18 KB
subtitles/6 - 4 - 04 Data Dimensions (308).srt 3.90 KB
subtitles/6 - 6 - 06 Visual Encoding (Part 2) (254).srt 3.54 KB
virtual machine/tips.txt 856.00 B
Related
Coursera - Introduction to Data Science (2013).mp4 2.39 GB
Coursera - Introduction to Data Science (2013).mp4 2.39 GB
Coursera - Introduction to Data Science (2013).ova 3.83 GB
Coursera - Introduction to Data Science (2013).pdf 11.13 MB
Coursera - Introduction to Data Science (2013).mp4 2.39 GB
Coursera - Introduction to Data Science (2013).mp4 2.39 GB
Coursera - Introduction to Data Science (2013).pdf 23.20 MB
Coursera - Introduction to Data Science (2013).mp4 463.41 MB
Coursera - Introduction to Data Science (2013).mp4 2.39 GB
Hot Search
About Us : We are a DHT resource search engine based on the Torrents protocol, all the resources come from the DHT web crawler for 24 hours. All the data is generated automatically by the program. We do not store any resources and Torrents files, only to index the Torrents meta information and provide search services.
Magnet Links & Torrents © 2010-2018 Privacy policy - DMCA Policy - Contact Us