[FreeCoursesOnline.Me] [Packt] Hands-On Machine Learning with Scala and Spark [FCO]
File List
- 03.Building a Clustering Model with Spark/0302.Implementing GMM in Apache Spark.mp4 31.5 MB
- 04.Dimensionality Reductions and Recommendation Engines/0403.Using Recommendation Engine to Get Top Recommendations.mp4 26.3 MB
- 01.Advanced Text Processing in Spark and Building a Classification Model/0104.Extracting Features from Data – Transforming Text into Vector of Numbers.mp4 22.7 MB
- 01.Advanced Text Processing in Spark and Building a Classification Model/0101.The Course Overview.mp4 19.2 MB
- 01.Advanced Text Processing in Spark and Building a Classification Model/0102.Analyzing Text Input Data.mp4 18.9 MB
- 02.Building a Regression Model with Spark/0205.Learn How to Validate Models Using Cross-Validation.mp4 18.6 MB
- 04.Dimensionality Reductions and Recommendation Engines/0402.Building Recommendation Engine in Spark Using Collaborative Filtering.mp4 18.2 MB
- 03.Building a Clustering Model with Spark/0304.Implementing K-Means Clustering in Apache Spark.mp4 18.2 MB
- 01.Advanced Text Processing in Spark and Building a Classification Model/0106.Training Classification Models – Implementing Word2Vect Using Apache Spark.mp4 16.3 MB
- 02.Building a Regression Model with Spark/0203.Training Regression Model.mp4 15.3 MB
- 05.Deep Learning with Spark/0502.Spark for Parallelizing Deep Learning Evaluation.mp4 15.3 MB
- 05.Deep Learning with Spark/0504.SparkDeep Learning Made Simple.mp4 15.2 MB
- 01.Advanced Text Processing in Spark and Building a Classification Model/0103.Feature Generation from Text – Count Vectorizer, TFIDF, LDA.mp4 14.1 MB
- 04.Dimensionality Reductions and Recommendation Engines/0401.Dimensionality Reduction Using Singular Value Decomposition (SVD).mp4 14.1 MB
- 04.Dimensionality Reductions and Recommendation Engines/0404.Dense and Sparse Vectors.mp4 13.7 MB
- 03.Building a Clustering Model with Spark/0305.Measure Accuracy Using Area Under ROC.mp4 12.6 MB
- 05.Deep Learning with Spark/0503.Deep Learning As a Feature Generator for Existing Spark ML Algorithms.mp4 11.5 MB
- 04.Dimensionality Reductions and Recommendation Engines/0405.LabeledPoints, Rating, and Other Data Types.mp4 10.5 MB
- 02.Building a Regression Model with Spark/0204.Key Concepts, Machine Learning Pipelines, and Operations.mp4 10.4 MB
- 02.Building a Regression Model with Spark/0201.Logistic Regression Explanation.mp4 8.6 MB
- 02.Building a Regression Model with Spark/0202.Writing a Logistic Regression Model Per Author in Apache Spark.mp4 8.6 MB
- 01.Advanced Text Processing in Spark and Building a Classification Model/0105.Bag-of-Words and Skip Gram.mp4 8.4 MB
- 05.Deep Learning with Spark/0501.The Spark versus Deep Learning Use Case.mp4 7.7 MB
- 03.Building a Clustering Model with Spark/0301.Analyzing Time of Post Using Clustering – (GMM Explanation).mp4 6.1 MB
- 03.Building a Clustering Model with Spark/0303.K-Means Clustering Explanation and Use Cases.mp4 4.1 MB
- Discuss.FreeTutorials.Us.html 165.7 KB
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- FreeTutorials.Eu.html 102.2 KB
- Exercise Files/exercise_files.zip 56.2 KB
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- How you can help Team-FTU.txt 259 bytes
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