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[Coursera] University of Washington - Introduction to Data Science [94 MP4, 104 PDF, 112 TXT, 25 HTML, 93 SRT]

CourseraUniversityWashingtonIntroductionDataScienceHTML

种子大小：1.36 GB

收录时间：2022-07-30

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文件列表：428File

  1. 04_NoSQL/02_Eventual_Consistency_18-56.mp425.95 MB
  2. 01_Introduction/10_WARNING_USES_OBSOLETE_TWITTER_API_Twitter_Assignment-_Getting_Started.mp425.3 MB
  3. 01_Introduction/01_Appetite_Whetting_Part_1_15-38.mp423.9 MB
  4. 04_NoSQL/07_Example-_Other_Google_Systems_16-18.mp423.73 MB
  5. 04_NoSQL/03_Example-_Memcached_16-37.mp423.31 MB
  6. 03_MapReduce/01_Scalability_Basics_16-18.mp423.26 MB
  7. 03_MapReduce/09_Parallel_Databases_16-18.mp422.69 MB
  8. 04_NoSQL/11_Pig_Join_and_Co-Group_Join_16-10.mp422.43 MB
  9. 01_Introduction/08_Big_Data_14-36.mp421.86 MB
  10. 01_Introduction/02_Appetite_Whetting_Part_2_13-44.mp420.23 MB
  11. 03_MapReduce/11_Experimental_Results-_MR_and_DB_15-01.mp420.16 MB
  12. 01_Introduction/05_This_Course_Part_1_14-02.mp419.68 MB
  13. 04_NoSQL/08_Response_to_NoSQL_Systems_14-44.mp419.37 MB
  14. 06_Topics_in_Machine_Learning_Part_1/06_06_Information_Gain_11-43.mp419.25 MB
  15. 03_MapReduce/06_MapReduce_Relational_Join_Social_Example_13-17.mp418.74 MB
  16. 02_Relational_Databases_Relational_Algebra/07_SQL_for_Data_Science-_Interpreting_Complicated_SQL_12-12.mp418.23 MB
  17. 03_MapReduce/08_MapReduce_Implementation_Overview_13-38.mp418.03 MB
  18. 05_Topics_in_Statistics/08_Bayes_Rule_11-53.mp417.67 MB
  19. 05_Topics_in_Statistics/06_Recap_and_Big_Data_11-39.mp417.5 MB
  20. 05_Topics_in_Statistics/01_Statistics_Intro_10-36.mp416.87 MB
  21. 03_MapReduce/03_MapReduce_Abstractions_11-17.mp416.86 MB
  22. 06_Topics_in_Machine_Learning_Part_1/12_12_k_Nearest_Neighbors_11-43.mp416.85 MB
  23. 06_Topics_in_Machine_Learning_Part_1/11_11_Random_Forests_11-16.mp416.79 MB
  24. 01_Introduction/07_eScience_11-46.mp416.75 MB
  25. 05_Topics_in_Statistics/05_Multiple_Hypothesis_Testing_11-22.mp416.53 MB
  26. 04_NoSQL/10_Pig_Functions_11-41.mp416.48 MB
  27. 03_MapReduce/02_Parallel_Processing_Patterns_11-26.mp416.39 MB
  28. 06_Topics_in_Machine_Learning_Part_1/07_07_Overfitting_11-04.mp416.23 MB
  29. 09_Graph_Analytics/08_08_PRISM_Example_in_Datalog_11-10.mp416.2 MB
  30. 03_MapReduce/05_MapReduce_Text_Examples_9-58.mp416.16 MB
  31. 02_Relational_Databases_Relational_Algebra/05_Relational_Algebra_Details-_Project_Cross_Product_Equi-Join_11-06.mp416.07 MB
  32. 02_Relational_Databases_Relational_Algebra/09_Physical_Optimization_11-14.mp416.04 MB
  33. 05_Topics_in_Statistics/04_Fraud_and_Benfords_Law_10-55.mp415.98 MB
  34. 02_Relational_Databases_Relational_Algebra/04_Relational_Algebra_Details-_Union_Diff_Select_10-53.mp415.86 MB
  35. 02_Relational_Databases_Relational_Algebra/03_Relational_Algebra_Introduction_10-58.mp415.77 MB
  36. 06_Topics_in_Machine_Learning_Part_1/05_05_Decision_Trees__Entropy_10-51.mp415.72 MB
  37. 07_Topics_in_Machine_Learning_Part_2/03_03_Intuition_for_Logistic_Regression_and_Support_Vector_Machines_10-55.mp415.54 MB
  38. 04_NoSQL/06_Example-_BigTable_11-05.mp415.49 MB
  39. 06_Topics_in_Machine_Learning_Part_1/08_08_Evaluation_and_Cross-Validation_10-46.mp415.41 MB
  40. 04_NoSQL/09_Pig_Intro_12-02.mp415.37 MB
  41. 02_Relational_Databases_Relational_Algebra/10_Declarative_Languages_10-30.mp415.28 MB
  42. 09_Graph_Analytics/12_12_PageRank_in_MapReduce_and_Pregel_10-42.mp415.04 MB
  43. 02_Relational_Databases_Relational_Algebra/01_From_Data_Models_to_Databases_10-35.mp414.89 MB
  44. 04_NoSQL/12_Pig_Evaluation_10-11.mp414.38 MB
  45. 05_Topics_in_Statistics/03_Effect_Size_Meta-analysis_Heteroskedasticity_9-31.mp414.14 MB
  46. 01_Introduction/06_This_Course_Part_2_10-50.mp414.09 MB
  47. 04_NoSQL/05_Example-_CouchDB_10-00.mp414.04 MB
  48. 02_Relational_Databases_Relational_Algebra/11_Logical_Data_Independence_11-23.mp414.02 MB
  49. 09_Graph_Analytics/06_06_Patterns-_Triangles_SPARQL_Datalog_10-02.mp413.9 MB
  50. 06_Topics_in_Machine_Learning_Part_1/10_10_Ensembles_Bagging_and_Boosting_09-19.mp413.83 MB
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