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种子名称： Coursera - Introduction to Data Science (2013)
文件类型： 视频
文件数目： 98个文件
文件大小： 1.4 GB
收录时间： 2017-10-23 18:43
已经下载： 3次
资源热度： 121
最近下载： 2024-8-25 03:11

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Coursera - Introduction to Data Science (2013).torrent

video-extra/Introduction to JSMapreduce.mp448.88MB

video/8 - 2 - Eventual Consistency (1856).mp425.95MB

video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp425.3MB

video/1 - 1 - Appetite Whetting Part 1 (1538).mp423.9MB

video/8 - 7 - Example Other Google Systems (1618).mp423.73MB

video/8 - 3 - Example Memcached (1637).mp423.31MB

video/3 - 1 - Scalability Basics (1618).mp423.26MB

video/3 - 9 - Parallel Databases (1618).mp422.69MB

video/8 - 11 - Pig Join and Co-Group Join (1610).mp422.43MB

video/1 - 8 - Big Data (1436).mp421.86MB

video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp421.26MB

video/1 - 2 - Appetite Whetting Part 2 (1344).mp420.23MB

video/3 - 11 - Experimental Results MR and DB (1501).mp420.16MB

video/1 - 5 - This Course Part 1 (1402).mp419.68MB

video/8 - 8 - Response to NoSQL Systems (1444).mp419.37MB

video/5 - 6 - 06 Information Gain (1143).mp419.25MB

video/3 - 6 - MapReduce Relational Join Social Example (1317).mp418.74MB

video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp418.23MB

video/3 - 8 - MapReduce Implementation Overview (1338).mp418.03MB

video/4 - 8 - Bayes Rule (1153).mp417.67MB

video/4 - 6 - Recap and Big Data (1139).mp417.5MB

video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp417.23MB

video/4 - 1 - Statistics Intro (1036).mp416.87MB

video/3 - 3 - MapReduce Abstractions (1117).mp416.86MB

video/5 - 12 - 12 k Nearest Neighbors (1143).mp416.85MB

video/5 - 11 - 11 Random Forests (1116).mp416.79MB

video/1 - 7 - eScience (1146).mp416.75MB

video/4 - 5 - Multiple Hypothesis Testing (1122).mp416.53MB

video/8 - 10 - Pig Functions (1141).mp416.48MB

video/3 - 2 - Parallel Processing Patterns (1126).mp416.39MB

video/5 - 7 - 07 Overfitting (1104).mp416.23MB

video/7 - 8 - 08 PRISM Example in Datalog (1110).mp416.2MB

video/3 - 5 - MapReduce Text Examples (958).mp416.16MB

video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp416.07MB

video/2 - 9 - Physical Optimization (1114).mp416.04MB

video/4 - 4 - Fraud and Benfords Law (1055).mp415.98MB

video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp415.86MB

video/2 - 3 - Relational Algebra Introduction (1058).mp415.77MB

video/5 - 5 - 05 Decision Trees Entropy (1051).mp415.72MB

video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp415.54MB

video/8 - 6 - Example BigTable (1105).mp415.49MB

video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp415.41MB

video/8 - 9 - Pig Intro (1202).mp415.37MB

video/2 - 10 - Declarative Languages (1030).mp415.28MB

video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp415.04MB

video/2 - 1 - From Data Models to Databases (1035).mp414.89MB

video/8 - 12 - Pig Evaluation (1011).mp414.38MB

video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp414.14MB

video/1 - 6 - This Course Part 2 (1050).mp414.09MB

video/8 - 5 - Example CouchDB (1000).mp414.04MB

video/2 - 11 - Logical Data Independence (1123).mp414.02MB

video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp413.9MB

video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp413.83MB

video/8 - 4 - Example Dynamo (1016).mp413.78MB

video/9 - 8 - 08 DBSCAN (0913).mp413.71MB

video/6 - 2 - 02 Data Types (937).mp413.46MB

video/1 - 3 - Context (930).mp413.41MB

video/3 - 7 - MapReduce Matrix Multiply Example (931).mp413.2MB

video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp413.01MB

video/4 - 2 - Publication Bias (845).mp413.01MB

video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp412.93MB

video/5 - 3 - 03 Rules Part 1 (0919).mp412.88MB

video/8 - 1 - NoSQL Introduction (830).mp412.79MB

video/1 - 4 - Dimensions (1024).mp412.77MB

video/2 - 2 - Motivating Relational Algebra (857).mp412.66MB

video/4 - 7 - Bayesian Intro (759).mp412.51MB

video/3 - 4 - MapReduce Pseudocode (754).mp412.28MB

video/2 - 6 - Relational Algebra Details Theta-Join (834).mp412.2MB

video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp412.16MB

video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp411.97MB

video/7 - 2 - 02 Structure Degree Histograms (0814).mp411.81MB

video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp411.64MB

video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp411.59MB

video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp411.16MB

video/1 - 10 - Logistics (742).mp410.9MB

video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp410.3MB

video/6 - 1 - 01 Introduction (717).mp410.22MB

video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp410.14MB

video/9 - 4 - 04 Intuition for Regularization (0659).mp49.9MB

video/7 - 11 - 11 Graph Representations (0651).mp49.66MB

video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp49.62MB

video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp49.61MB

video/7 - 4 - 04 Traversal PageRank (0637).mp49.39MB

video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp49.07MB

video/3 - 10 - Comparing MapReduce and Databases (0639).mp48.95MB

video/7 - 1 - 01 Graph Basics (0622).mp48.74MB

video/9 - 6 - 06 Unsupervised Learning (0611).mp48.69MB

video/5 - 4 - 04 Rules Part 2 (0539).mp48.64MB

video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp48.03MB

video/9 - 7 - 07 K-means (0556).mp47.97MB

video/5 - 9 - 09 The Bootstrap (0413).mp46.64MB

video/6 - 7 - 07 Visual Perception (Part 1) (439).mp46.54MB

video/6 - 8 - 08 Visual Perception (Part 2) (418).mp45.99MB

video/6 - 3 - 03 Data Types (Exercises) (407).mp45.95MB

video/6 - 9 - 09 Visual Perception (Part 3) (356).mp45.31MB

video/6 - 10 - 10 Evaluation (325).mp45.04MB

video/6 - 4 - 04 Data Dimensions (308).mp44.36MB

video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp44.23MB