Knowledge != understanding
  • Anonymous
  • 2020-04-27 17:01:08
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Total size: 1,984,084,213
Archived files
01 - Recommendation Systems Overview\01 - Introduction.mp4 [ea900b8b3b1ee351] 58,955,803 CA9D186F
01 - Recommendation Systems Overview\02 - Getting started with GCP and Qwiklabs.mp4 [a6399f8094f0f5a6] 9,109,776 727541B3
01 - Recommendation Systems Overview\03 - Introduction.mp4 [f54581879be4e8f0] 84,794,087 ED9F2A55
01 - Recommendation Systems Overview\04 - Types of Recommendation Systems.mp4 [8f136650b2af3465] 9,770,415 5CAA5E17
01 - Recommendation Systems Overview\05 - Content-Based or Collaborative.mp4 [844f934b7a3a05cc] 49,327,517 81B78AD7
01 - Recommendation Systems Overview\06 - Recommendation System Pitfalls.mp4 [33c4edae36af1c14] 7,676,422 1DAF9FF3
01 - Recommendation Systems Overview\07 - Discussion.mp4 [a06600873b9f3f7e] 25,314,487 C5C5D8B0
02 - Content-Based Recommendation Systems\08 - Content-Based Recommendation Systems.mp4 [c276847536e276d3] 12,100,916 930D26C2
02 - Content-Based Recommendation Systems\09 - Similarity Measures.mp4 [e212fce6ebe7e7c3] 37,911,459 FB7FF270
02 - Content-Based Recommendation Systems\10 - Building a User Vector.mp4 [87de35b75cc1e7f1] 16,900,336 E6BF8E9D
02 - Content-Based Recommendation Systems\11 - Making Recommendations Using a User Vector.mp4 [b9d49dfd2b2fbfdc] 7,786,824 8CE83E67
02 - Content-Based Recommendation Systems\12 - Making Recommendations for Many Users.mp4 [88e3547e65acdf71] 26,227,351 5E9F50AF
02 - Content-Based Recommendation Systems\13 - Lab intro - Create a Content-Based Recommendation System.mp4 [c7b31035417256a9] 5,932,869 A460A958
02 - Content-Based Recommendation Systems\14 - Content-Based Filtering by Hand.mp4 [40a8432aaa92c422] 237,359 C508753E
02 - Content-Based Recommendation Systems\15 - Lab Solution -Create a Content-Based Recommendation System.mp4 [dc9d1fef8440f01e] 51,617,949 94929E3C
02 - Content-Based Recommendation Systems\16 - Using Neural Networks for Content-Based Recommendation Systems.mp4 [6116dae8d43e587d] 20,224,327 C6B961A6
02 - Content-Based Recommendation Systems\17 - Lab Intro - Create a Content-Based Recommendation System Using a Neural Network.mp4 [6c75bf55061bf9ff] 10,631,541 F05260A5
02 - Content-Based Recommendation Systems\18 - Content-Based Filtering using Neural Networks.mp4 [5ee87f2c61f3cc8e] 249,439 548B81A3
02 - Content-Based Recommendation Systems\19 - Lab Solution -Create a Content-Based Recommendation System Using a Neural Network.mp4 [6cd5301ea1126e19] 123,793,974 8E42FB2B
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\20 - Types of User Feedback Data.mp4 [ee68c746173016c9] 56,520,774 A476073E
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\21 - Embedding Users and Items.mp4 [d2bef1b74a668d4e] 81,609,457 0D40297B
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\22 - Factorization Approaches.mp4 [bedb7a4ddd17ba78] 44,806,381 E798CFA8
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\23 - The ALS Algorithm.mp4 [7a33460fc7773561] 18,194,316 3EBCB0A4
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\24 - Preparing Input Data for ALS.mp4 [847b606d8fc77fa2] 34,346,779 CE1ECDA3
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\25 - Creating Sparse Tensors For Efficient WALS Input.mp4 [e023f46c65913899] 19,356,497 F74DC7BA
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\26 - Instantiating a WALS Estimator -From Input to Estimator.mp4 [b97f8048ac78bcd2] 23,301,520 29B66AEC
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\27 - Instantiating a WAL Estimator -Decoding TFRecords.mp4 [d30a894bb9aa6c8a] 12,996,421 813EB1FE
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\28 - Instantiating a WALS Estimator -Recovering Keys.mp4 [b80ed127df8c138f] 37,340,540 41AAAE6F
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\29 - Instantiating a WALS Estimator -Training and Prediction.mp4 [54072395908b747f] 22,465,386 BC158A87
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\30 - Lab Intro -Collaborative Filtering with Google Analytics Data.mp4 [49dff807b140ba2e] 7,707,791 897E2E7F
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\31 - Collaborative Filtering on Google Analytics data.mp4 [62271d0f729fb7] 245,474 41F3B6BC
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\32 - Lab Solution -Collaborative Filtering with Google Analytics Data.mp4 [cdef29d804fa2774] 124,039,819 27E28ED2
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\33 - Issues with Collaborative Filtering.mp4 [9f9e9a504846aca5] 23,357,915 8A4B0127
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\34 - Productionized WALS Demo.mp4 [9cd0345be0f42677] 59,308,087 960542A5
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS\35 - Cold Starts.mp4 [3ec705454c63839a] 26,034,106 68EAAD3E
04 - Neural Networks for Recommendation Systems\36 - Hybrid Recommendation Systems.mp4 [e1bb6aed273af5b2] 58,274,684 13C7A4A0
04 - Neural Networks for Recommendation Systems\37 - Lab -Designing a Hybrid Recommendation System.mp4 [b5651524bff358ba] 59,432,528 A0361013
04 - Neural Networks for Recommendation Systems\38 - Lab -Designing a Hybrid Collaborative Filtering Recommendation System.mp4 [4d745605a17319b3] 40,783,376 0B2AEE1D
04 - Neural Networks for Recommendation Systems\39 - Lab -Designing a Hybrid Knowledge-based Recommendation System.mp4 [7d24e3ec90761d31] 34,876,835 594622C5
04 - Neural Networks for Recommendation Systems\40 - Lab Intro - Building a Neural Network Hybrid Recommendation System.mp4 [5a2e3cd9577816b5] 6,113,285 89DE8534
04 - Neural Networks for Recommendation Systems\41 - Neural network hybrid recommendation system on Google Analytics.mp4 [26d0733f5c5c5246] 250,673 7D7B61A4
04 - Neural Networks for Recommendation Systems\42 - Lab Solution -Building a Neural Network Hybrid Recommendation System.mp4 [f9b0668bbcd86b49] 116,401,395 05EFED60
04 - Neural Networks for Recommendation Systems\43 - Context-Aware Recommendation Systems.mp4 [710df9ee5ae5b52b] 54,576,919 C2EEE413
04 - Neural Networks for Recommendation Systems\44 - Context-Aware Algorithms.mp4 [6ba50f88c209b5b2] 40,164,426 7CAABCF7
04 - Neural Networks for Recommendation Systems\45 - Contextual Postfiltering.mp4 [3b6aaba9d3ea6cab] 30,250,188 9341166F
04 - Neural Networks for Recommendation Systems\46 - Modeling Using Context-Aware Algorithms.mp4 [236a336894424074] 34,045,634 EFC47E08
04 - Neural Networks for Recommendation Systems\47 - YouTube Recommendation System Case Study -Overview.mp4 [33faad136e54ffe3] 14,789,055 5613AE18
04 - Neural Networks for Recommendation Systems\48 - YouTube Recommendation System Case Study -Candidate Generation.mp4 [a289f7585587500e] 10,210,024 57EF80A1
04 - Neural Networks for Recommendation Systems\49 - YouTube Recommendation System Case Study -Ranking.mp4 [dbd104e9692133b0] 10,210,261 8BA79828
04 - Neural Networks for Recommendation Systems\50 - Summary.mp4 [b0a950412cf05915] 7,841,603 67EB387B
05 - Building an End-to-End Recommendation System\51 - Introduction.mp4 [9ea8ddddb16ae1ac] 22,152,705 2A135411
05 - Building an End-to-End Recommendation System\52 - Architecture Overview.mp4 [f61cd3821ffcfbd9] 6,639,774 A43B2ED3
05 - Building an End-to-End Recommendation System\53 - Cloud Composer Overview.mp4 [c18d19a05a00f132] 68,506,974 61BBD24B
05 - Building an End-to-End Recommendation System\54 - Cloud Composer -DAGs.mp4 [78f63c8582a31eab] 14,690,497 3DE1A24D
05 - Building an End-to-End Recommendation System\55 - Cloud Composer -Operators for ML.mp4 [b7897c66ee9f637f] 56,290,756 6389A83B
05 - Building an End-to-End Recommendation System\56 - Cloud Composer -Scheduling.mp4 [7f10d8f52d6e164e] 6,391,620 9BC53DF9
05 - Building an End-to-End Recommendation System\57 - Cloud Composer -Triggering Workflows with Cloud Functions.mp4 [bc1330fa875f961b] 20,566,967 17A3E1BA
05 - Building an End-to-End Recommendation System\58 - Cloud Composer -Monitoring and Logging.mp4 [17b77b47f2a0f6db] 20,474,938 03540C22
05 - Building an End-to-End Recommendation System\59 - Lab Intro - End-to-End Recommendation System.mp4 [5b42d266c5a1953a] 8,205,672 7E98E0D6
05 - Building an End-to-End Recommendation System\60 - End to End Recommendation System.mp4 [5bb17af41f441f71] 239,183 9044A913
06 - Summary\61 - Course Summary 1.mp4 [937e070289f8edb4] 25,160,488 3473C4AD
06 - Summary\62 - Course Summary 2.mp4 [948baa547e93fcc1] 44,830,094 1E11B5AA
recommendation-systems-tensorflow-gcp.zip 21,504,579 A2C224BA
01 - Recommendation Systems Overview 0 00000000
02 - Content-Based Recommendation Systems 0 00000000
03 - COLLABORATIVE FILTERING RECOMMENDATION SYSTEMS 0 00000000
04 - Neural Networks for Recommendation Systems 0 00000000
05 - Building an End-to-End Recommendation System 0 00000000
06 - Summary 0 00000000

Total size: 1,984,069,247
RAR Recovery
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