Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition

eBook Details:

  • Paperback: 368 pages
  • Publisher: WOW! eBook; 2nd edition (November 5, 2019)
  • Language: English
  • ISBN-10: 1119561930
  • ISBN-13: 978-1119561934

eBook Description:

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark-a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much large data sets and call the spark algorithms using ordinary Python code.

Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition focuses on two algorithm families (linear methods and ensemble methods) that effectively predict outcomes. This type of problem covers many use cases such as what ad to place on a web page, predicting prices in securities markets, or detecting credit card fraud. The focus on two families gives enough room for full descriptions of the mechanisms at work in the algorithms. Then the code examples serve to illustrate the workings of the machinery with specific hackable code.

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2 Responses

  1. February 23, 2020

    […] Machine Learning: Hands-On for Developers and Technical Professionals, 2nd Edition: Dig deep into the data with a hands-on guide to machine learning with updated examples and more! […]

  2. February 25, 2020

    […] Machine Learning with Spark: Covers XGBoost, LightGBM, Spark NLP, Distributed Deep Learning with Keras, and […]

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