| File | Dimensione |
|---|
| 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/1. The Course Overview.MP4 | 24.41 MB |
| 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/2. Performing Feature Engineering.MP4 | 40.86 MB |
| 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/3. Leveraging ND4J Library Input Vectors and Matrices.MP4 | 18.75 MB |
| 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/4. Extracting INDArray Features.MP4 | 22.63 MB |
| 1. FEATURE EXTRACTION FOR UNSTRUCTURED TEXTUAL NEWS FEED DATA/5. Applying Scalar Transformations to Features Vectors.MP4 | 26.88 MB |
| 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/1. Project Set Up Using Weka Library.MP4 | 26.19 MB |
| 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/2. Data Mining of Input Data Set.MP4 | 15.58 MB |
| 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/3. Building Classifier in Weka Library.MP4 | 19.50 MB |
| 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/4. Performing Cross-Validation of the Model.MP4 | 13.93 MB |
| 2. ML CLASSIFICATION FOR PATTERN RECOGNITION OF SENSOR DATA USING WEKA LIBRARY/5. Making Predictions Based on the Classification.MP4 | 22.04 MB |
| 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/1. Extracting Feature Vector for Housing Data.MP4 | 19.66 MB |
| 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/2. Performing Normalization of Data.MP4 | 20.01 MB |
| 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/3. Building Regression Model.MP4 | 17.10 MB |
| 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/4. Leveraging Regression Model for Predicting Price of House.MP4 | 22.70 MB |
| 3. BUILDING REGRESSION MODEL FOR HOUSING MARKET/5. Saving Model for Further Re-Usage.MP4 | 16.47 MB |
| 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/1. Feeding DL4J Model with Gender Labeled Data.MP4 | 16.89 MB |
| 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/2. Creating a .java File for Automatic Feature Extraction.MP4 | 21.41 MB |
| 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/3. Creating Neural Network with Multiple Layers.MP4 | 21.92 MB |
| 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/4. Training of Deep Learning Model.MP4 | 22.05 MB |
| 4. DEEP LEARNING FOR PREDICTING GENDER BASED ON THE NAME/5. Performing Validation of a Model.MP4 | 29.88 MB |
| 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/1. Extracting Feature Vector from Text Data.MP4 | 25.11 MB |
| 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 | 17.76 MB |
| 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/3. Leveraging NLP Construct from DL4J.MP4 | 69.08 MB |
| 5. FINDING SIMILARITY OF WORDS IN A BOOK USING NLP WITH DEEP LEARNING/4. Finding Words Based on the Similarity.MP4 | 79.03 MB |
| Discuss.FTUForum.com.html | 31.89 kB |
| FreeCoursesOnline.Me.html | 108.30 kB |
| FTUForum.com.html | 100.44 kB |
| How you can help Team-FTU.txt | 235.00 B |
| Torrent Downloaded From GloDls.to.txt | 84.00 B |
| [TGx]Downloaded from torrentgalaxy.org.txt | 524.00 B |
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