Bowles, Michael. <br/><br/>
Machine Learning with Spark and Python :  Essential Techniques for Predictive Analytics / 
Michael Bowles. 
 - 2nd ed. 
 - Newark :  Wiley,  2019. 
 - 1 online resource (371 pages) 
<br/><br/>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. 
<br/><br/> Legal Deposit;  Only available on premises controlled by the deposit library and to one user at any one time; 
<br/><br/> 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. 
<br/><br/><br/>Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force. 
<br/><br/><label>ISBN: </label>9781119562023 1119562023 1119562015 9781119562016 9781119561958 1119561957 
<br/><br/><label>Source: </label>089379CB-3643-4762-AB5D-8BEC026EFA4C  OverDrive, Inc.  http://www.overdrive.com 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning.<br/>Apprentissage automatique.<br/>Machine learning
<br/><br/><label>LC Class. No.: </label>Q325.5 
<br/><br/><label>Dewey Class. No.: </label>006.3/1