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|a Bowles, Michael.
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|a Machine Learning with Spark and Python :
|b Essential Techniques for Predictive Analytics /
|c Michael Bowles.
|
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|a 2nd ed.
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|a Newark :
|b Wiley,
|c 2019.
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|a Front Matter -- The Two Essential Algorithms for Making Predictions -- Understand the Problem by Understanding the Data -- Predictive Model Building -- Penalized Linear Regression -- Building Predictive Models Using Penalized Linear Methods -- Ensemble Methods -- Building Ensemble Models with Python.
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|a Print version record.
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|a Legal Deposit;
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|e The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
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|a Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
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|a 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.
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590 |
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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650 |
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|a Machine learning.
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650 |
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|a Apprentissage automatique.
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|a Machine Learning with Spark and Python (Text)
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|i Print version:
|a Bowles, Michael.
|t Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics.
|d Newark : John Wiley & Sons, Incorporated, ©2019
|z 9781119561934
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856 |
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