| ファイル | サイズ |
|---|
| 01.Advanced Text Processing in Spark and Building a Classification Model/0101.The Course Overview.mp4 | 19.20 MB |
| 01.Advanced Text Processing in Spark and Building a Classification Model/0102.Analyzing Text Input Data.mp4 | 18.88 MB |
| 01.Advanced Text Processing in Spark and Building a Classification Model/0103.Feature Generation from Text – Count Vectorizer, TFIDF, LDA.mp4 | 14.10 MB |
| 01.Advanced Text Processing in Spark and Building a Classification Model/0104.Extracting Features from Data – Transforming Text into Vector of Numbers.mp4 | 22.71 MB |
| 01.Advanced Text Processing in Spark and Building a Classification Model/0105.Bag-of-Words and Skip Gram.mp4 | 8.37 MB |
| 01.Advanced Text Processing in Spark and Building a Classification Model/0106.Training Classification Models – Implementing Word2Vect Using Apache Spark.mp4 | 16.28 MB |
| 02.Building a Regression Model with Spark/0201.Logistic Regression Explanation.mp4 | 8.62 MB |
| 02.Building a Regression Model with Spark/0202.Writing a Logistic Regression Model Per Author in Apache Spark.mp4 | 8.62 MB |
| 02.Building a Regression Model with Spark/0203.Training Regression Model.mp4 | 15.34 MB |
| 02.Building a Regression Model with Spark/0204.Key Concepts, Machine Learning Pipelines, and Operations.mp4 | 10.42 MB |
| 02.Building a Regression Model with Spark/0205.Learn How to Validate Models Using Cross-Validation.mp4 | 18.64 MB |
| 03.Building a Clustering Model with Spark/0301.Analyzing Time of Post Using Clustering – (GMM Explanation).mp4 | 6.10 MB |
| 03.Building a Clustering Model with Spark/0302.Implementing GMM in Apache Spark.mp4 | 31.52 MB |
| 03.Building a Clustering Model with Spark/0303.K-Means Clustering Explanation and Use Cases.mp4 | 4.09 MB |
| 03.Building a Clustering Model with Spark/0304.Implementing K-Means Clustering in Apache Spark.mp4 | 18.19 MB |
| 03.Building a Clustering Model with Spark/0305.Measure Accuracy Using Area Under ROC.mp4 | 12.57 MB |
| 04.Dimensionality Reductions and Recommendation Engines/0401.Dimensionality Reduction Using Singular Value Decomposition (SVD).mp4 | 14.06 MB |
| 04.Dimensionality Reductions and Recommendation Engines/0402.Building Recommendation Engine in Spark Using Collaborative Filtering.mp4 | 18.21 MB |
| 04.Dimensionality Reductions and Recommendation Engines/0403.Using Recommendation Engine to Get Top Recommendations.mp4 | 26.32 MB |
| 04.Dimensionality Reductions and Recommendation Engines/0404.Dense and Sparse Vectors.mp4 | 13.71 MB |
| 04.Dimensionality Reductions and Recommendation Engines/0405.LabeledPoints, Rating, and Other Data Types.mp4 | 10.48 MB |
| 05.Deep Learning with Spark/0501.The Spark versus Deep Learning Use Case.mp4 | 7.71 MB |
| 05.Deep Learning with Spark/0502.Spark for Parallelizing Deep Learning Evaluation.mp4 | 15.27 MB |
| 05.Deep Learning with Spark/0503.Deep Learning As a Feature Generator for Existing Spark ML Algorithms.mp4 | 11.52 MB |
| 05.Deep Learning with Spark/0504.SparkDeep Learning Made Simple.mp4 | 15.22 MB |
| Discuss.FreeTutorials.Us.html | 165.68 kB |
| Exercise Files/exercise_files.zip | 56.16 kB |
| FreeCoursesOnline.Me.html | 108.30 kB |
| FreeTutorials.Eu.html | 102.23 kB |
| How you can help Team-FTU.txt | 259.00 B |
| Torrent Downloaded From GloDls.to.txt | 84.00 B |
| [TGx]Downloaded from torrentgalaxy.org.txt | 524.00 B |
-