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[FreeCoursesOnline.Me] [Packt] Hands-On Machine Learning with Scala and Spark [FCO]
magnet:?xt=urn:btih:28e56fc8edc280a1c354b29edc914b46da4f54a8&dn=[FreeCoursesOnline.Me] [Packt] Hands-On Machine Learning with Scala and Spark [FCO]
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Hash值:
28e56fc8edc280a1c354b29edc914b46da4f54a8
点击数:
155
文件大小:
366.16 MB
文件数量:
25
创建日期:
2019-2-6 05:40
最后访问:
2024-8-18 20:47
访问标签:
FreeCoursesOnline
Me
Packt
Hands-On
Machine
Learning
with
Scala
and
Spark
FCO
文件列表详情
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 18.88 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
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 6.1 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
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