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Machine Learning with Spark and Python: Essential Techniques for Predictive Anal

Description: Machine Learning with Spark and Python by Michael Bowles Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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 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. Author Biography MICHAEL BOWLES teaches machine learning at UC Berkeley, University of New Haven and Hacker Dojo in Silicon Valley, consults on machine learning projects, and is involved in a number of startups in such areas as semi conductor inspection, drug design and optimization and trading in the financial markets. Following an assistant professorship at MIT, Michael went on to found and run two Silicon Valley startups, both of which went public. His courses are always popular and receive great feedback from participants. Details ISBN 1119561930 ISBN-13 9781119561934 Title Machine Learning with Spark and Python Author Michael Bowles Format Paperback Year 2019 Pages 368 Edition 2nd Publisher John Wiley & Sons Inc GE_Item_ID:137343355; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 41.93 USD

Location: Fairfield, Ohio

End Time: 2024-12-01T07:02:19.000Z

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Machine Learning with Spark and Python: Essential Techniques for Predictive Anal

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Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781119561934

Book Title: Machine Learning with Spark and Python

Number of Pages: 368 Pages

Language: English

Publication Name: Machine Learning with Spark and Python : Essential Techniques for Predictive Analytics

Publisher: Wiley & Sons, Incorporated, John

Subject: Expert Systems, General, Data Processing, Computer Vision & Pattern Recognition

Item Height: 0.9 in

Publication Year: 2019

Type: Textbook

Item Weight: 21.7 Oz

Subject Area: Mathematics, Computers

Item Length: 9 in

Author: Michael Bowles

Item Width: 7.3 in

Format: Trade Paperback

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