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Coursera - Introduction to Data Science (2013)
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2017-10-23 18:43
2025-2-8 16:22
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Introduction
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Data
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2013
文件列表
video-extra/Introduction to JSMapreduce.mp4
48.88MB
video/8 - 2 - Eventual Consistency (1856).mp4
25.95MB
video/1 - 11 - Twitter Assignment Getting Started with Problem 0 and Problem 1.mp4
25.3MB
video/1 - 1 - Appetite Whetting Part 1 (1538).mp4
23.9MB
video/8 - 7 - Example Other Google Systems (1618).mp4
23.73MB
video/8 - 3 - Example Memcached (1637).mp4
23.31MB
video/3 - 1 - Scalability Basics (1618).mp4
23.26MB
video/3 - 9 - Parallel Databases (1618).mp4
22.69MB
video/8 - 11 - Pig Join and Co-Group Join (1610).mp4
22.43MB
video/1 - 8 - Big Data (1436).mp4
21.86MB
video/10 - 1 - 01 Guest Segment Aaron Kimball Wibidata.mp4
21.26MB
video/1 - 2 - Appetite Whetting Part 2 (1344).mp4
20.23MB
video/3 - 11 - Experimental Results MR and DB (1501).mp4
20.16MB
video/1 - 5 - This Course Part 1 (1402).mp4
19.68MB
video/8 - 8 - Response to NoSQL Systems (1444).mp4
19.37MB
video/5 - 6 - 06 Information Gain (1143).mp4
19.25MB
video/3 - 6 - MapReduce Relational Join Social Example (1317).mp4
18.74MB
video/2 - 7 - SQL for Data Science Interpreting Complicated SQL (1212).mp4
18.23MB
video/3 - 8 - MapReduce Implementation Overview (1338).mp4
18.03MB
video/4 - 8 - Bayes Rule (1153).mp4
17.67MB
video/4 - 6 - Recap and Big Data (1139).mp4
17.5MB
video/1 - 9 - Guest Lecture Biomedical Informatics (1024).mp4
17.23MB
video/4 - 1 - Statistics Intro (1036).mp4
16.87MB
video/3 - 3 - MapReduce Abstractions (1117).mp4
16.86MB
video/5 - 12 - 12 k Nearest Neighbors (1143).mp4
16.85MB
video/5 - 11 - 11 Random Forests (1116).mp4
16.79MB
video/1 - 7 - eScience (1146).mp4
16.75MB
video/4 - 5 - Multiple Hypothesis Testing (1122).mp4
16.53MB
video/8 - 10 - Pig Functions (1141).mp4
16.48MB
video/3 - 2 - Parallel Processing Patterns (1126).mp4
16.39MB
video/5 - 7 - 07 Overfitting (1104).mp4
16.23MB
video/7 - 8 - 08 PRISM Example in Datalog (1110).mp4
16.2MB
video/3 - 5 - MapReduce Text Examples (958).mp4
16.16MB
video/2 - 5 - Relational Algebra Details Project Cross Product Equi-Join (1106).mp4
16.07MB
video/2 - 9 - Physical Optimization (1114).mp4
16.04MB
video/4 - 4 - Fraud and Benfords Law (1055).mp4
15.98MB
video/2 - 4 - Relational Algebra Details Union Diff Select (1053).mp4
15.86MB
video/2 - 3 - Relational Algebra Introduction (1058).mp4
15.77MB
video/5 - 5 - 05 Decision Trees Entropy (1051).mp4
15.72MB
video/9 - 3 - 03 Intuition for Logistic Regression and Support Vector Machines (1055).mp4
15.54MB
video/8 - 6 - Example BigTable (1105).mp4
15.49MB
video/5 - 8 - 08 Evaluation and Cross-Validation (1046).mp4
15.41MB
video/8 - 9 - Pig Intro (1202).mp4
15.37MB
video/2 - 10 - Declarative Languages (1030).mp4
15.28MB
video/7 - 12 - 12 PageRank in MapReduce and Pregel (1042).mp4
15.04MB
video/2 - 1 - From Data Models to Databases (1035).mp4
14.89MB
video/8 - 12 - Pig Evaluation (1011).mp4
14.38MB
video/4 - 3 - Effect Size Meta-analysis Heteroskedasticity (931).mp4
14.14MB
video/1 - 6 - This Course Part 2 (1050).mp4
14.09MB
video/8 - 5 - Example CouchDB (1000).mp4
14.04MB
video/2 - 11 - Logical Data Independence (1123).mp4
14.02MB
video/7 - 6 - 06 Patterns Triangles SPARQL Datalog (1002).mp4
13.9MB
video/5 - 10 - 10 Ensembles Bagging and Boosting (0919).mp4
13.83MB
video/8 - 4 - Example Dynamo (1016).mp4
13.78MB
video/9 - 8 - 08 DBSCAN (0913).mp4
13.71MB
video/6 - 2 - 02 Data Types (937).mp4
13.46MB
video/1 - 3 - Context (930).mp4
13.41MB
video/3 - 7 - MapReduce Matrix Multiply Example (931).mp4
13.2MB
video/9 - 5 - 05 Stochastic Gradient Descent Minibatches Parallelization (0853).mp4
13.01MB
video/4 - 2 - Publication Bias (845).mp4
13.01MB
video/10 - 2 - 02 Guest Segment Karen Hsu Datameer.mp4
12.93MB
video/5 - 3 - 03 Rules Part 1 (0919).mp4
12.88MB
video/8 - 1 - NoSQL Introduction (830).mp4
12.79MB
video/1 - 4 - Dimensions (1024).mp4
12.77MB
video/2 - 2 - Motivating Relational Algebra (857).mp4
12.66MB
video/4 - 7 - Bayesian Intro (759).mp4
12.51MB
video/3 - 4 - MapReduce Pseudocode (754).mp4
12.28MB
video/2 - 6 - Relational Algebra Details Theta-Join (834).mp4
12.2MB
video/7 - 10 - 10 Optimizing MapReduce for Graph Traversal (0820).mp4
12.16MB
video/7 - 7 - 07 Patterns Relational Algebra for Graph Query (0826).mp4
11.97MB
video/7 - 2 - 02 Structure Degree Histograms (0814).mp4
11.81MB
video/5 - 1 - 01 Introduction to Machine Learning Part 1 (0754).mp4
11.64MB
video/7 - 9 - 09 Evaluating Graph Traversal Queries (0829).mp4
11.59MB
video/2 - 8 - SQL for Data Science User-Defined Functions (759).mp4
11.16MB
video/1 - 10 - Logistics (742).mp4
10.9MB
video/7 - 5 - 05 Traversal Spanning Trees Circuits Flows (0657).mp4
10.3MB
video/6 - 1 - 01 Introduction (717).mp4
10.22MB
video/9 - 1 - 01 Gradient Descent Part 1 (0718).mp4
10.14MB
video/9 - 4 - 04 Intuition for Regularization (0659).mp4
9.9MB
video/7 - 11 - 11 Graph Representations (0651).mp4
9.66MB
video/7 - 3 - 03 Structure Diameter Connectivity Centrality (0656).mp4
9.62MB
video/6 - 5 - 05 Visual Encoding (Part 1) (638).mp4
9.61MB
video/7 - 4 - 04 Traversal PageRank (0637).mp4
9.39MB
video/9 - 2 - 02 Gradient Descent Part 2 (0629).mp4
9.07MB
video/3 - 10 - Comparing MapReduce and Databases (0639).mp4
8.95MB
video/7 - 1 - 01 Graph Basics (0622).mp4
8.74MB
video/9 - 6 - 06 Unsupervised Learning (0611).mp4
8.69MB
video/5 - 4 - 04 Rules Part 2 (0539).mp4
8.64MB
video/5 - 2 - 02 Introduction to Machine Learning Part 2 (0523).mp4
8.03MB
video/9 - 7 - 07 K-means (0556).mp4
7.97MB
video/5 - 9 - 09 The Bootstrap (0413).mp4
6.64MB
video/6 - 7 - 07 Visual Perception (Part 1) (439).mp4
6.54MB
video/6 - 8 - 08 Visual Perception (Part 2) (418).mp4
5.99MB
video/6 - 3 - 03 Data Types (Exercises) (407).mp4
5.95MB
video/6 - 9 - 09 Visual Perception (Part 3) (356).mp4
5.31MB
video/6 - 10 - 10 Evaluation (325).mp4
5.04MB
video/6 - 4 - 04 Data Dimensions (308).mp4
4.36MB
video/6 - 6 - 06 Visual Encoding (Part 2) (254).mp4
4.23MB
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