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Machine Learning with PySpark: With Natural Language Processing and Recommender Systems

Machine Learning with PySpark: With Natural Language Processing and Recommender Systems

Machine Learning with PySpark: With Natural Language Processing and Recommender Systems Paperback -

by Singh, Pramod

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From the publisher

Chapter 1: Evolution of Data

Chapter 2: Introduction to Machine Learning

Chapter 3: Data Processing

Chapter 4: Linear Regression

Chapter 5: Logistic Regression

Chapter 6: Random Forests

Chapter 7: Recommender Systems

Chapter 8: Clustering

Chapter 9: Natural Language Processing


About the author

Pramod Singh is an established data scientist with over eight years of experience in data and solving business challenges. He has worked in organizations such as Infosys, Tally and SapientRazorfish. Also, president of a data science meet-up group and regular speaker at various webinars. Recently spoke at major conference: GIDS 2018 and presented a session on "Sequence Embedding in Spark" which was well received. He has an online Udemy course on machine learning.
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