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[] [Packt] Machine Learning Projects with Java [FCO]

  • 收录时间:2020-01-24 14:48:41
  • 文件大小:630MB
  • 下载次数:33
  • 最近下载:2020-12-01 23:20:57
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文件列表

  1. 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/4. Finding Words Based on the Similarity.MP4 79MB
  2. 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/3. Leveraging NLP Construct from DL4J.MP4 69MB
  3. 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/2. Performing Feature Engineering.MP4 41MB
  4. 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/5. Performing Validation of a Model.MP4 30MB
  5. 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/5. Applying Scalar Transformations to Features Vectors.MP4 27MB
  6. 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/1. Project Set Up Using Weka Library.MP4 26MB
  7. 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/1. Extracting Feature Vector from Text Data.MP4 25MB
  8. 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/1. The Course Overview.MP4 24MB
  9. 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/4. Leveraging Regression Model for Predicting Price of House.MP4 23MB
  10. 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/4. Extracting INDArray Features.MP4 23MB
  11. 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/4. Training of Deep Learning Model.MP4 22MB
  12. 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/5. Making Predictions Based on the Classification.MP4 22MB
  13. 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/3. Creating Neural Network with Multiple Layers.MP4 22MB
  14. 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/2. Creating a .java File for Automatic Feature Extraction.MP4 21MB
  15. 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/2. Performing Normalization of Data.MP4 20MB
  16. 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/1. Extracting Feature Vector for Housing Data.MP4 20MB
  17. 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/3. Building Classifier in Weka Library.MP4 20MB
  18. 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/3. Leveraging ND4J Library Input Vectors and Matrices.MP4 19MB
  19. 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/2. Loading Raw Data That will be an Input for NLP Training.MP4 18MB
  20. 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/3. Building Regression Model.MP4 17MB
  21. 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/1. Feeding DL4J Model with Gender Labeled Data.MP4 17MB
  22. 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/5. Saving Model for Further Re-Usage.MP4 16MB
  23. 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/2. Data Mining of Input Data Set.MP4 16MB
  24. 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/4. Performing Cross-Validation of the Model.MP4 14MB
  25. FreeCoursesOnline.Me.html 108KB
  26. FTUForum.com.html 100KB
  27. Discuss.FTUForum.com.html 32KB
  28. [TGx]Downloaded from torrentgalaxy.org.txt 524B
  29. How you can help Team-FTU.txt 235B
  30. Torrent Downloaded From GloDls.to.txt 84B