Description: Feature Engineering and Selection by Max Kuhn, Kjell Johnson Estimated delivery 4-14 business days Format Paperback Condition Brand New Description The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. Publisher Description The process of developing predictive models includes many stages. Most resources focus on the modeling algorithms but neglect other critical aspects of the modeling process. This book describes techniques for finding the best representations of predictors for modeling and for nding the best subset of predictors for improving model performance. A variety of example data sets are used to illustrate the techniques along with R programs for reproducing the results. Author Biography Max Kuhn, Ph.D., is a software engineer at RStudio. He worked in 18 years in drug discovery and medical diagnostics applying predictive models to real data. He has authored numerous R packages for predictive modeling and machine learning. Kjell Johnson, Ph.D., is the owner and founder of Stat Tenacity, a firm that provides statistical and predictive modeling consulting services. He has taught short courses on predictive modeling for the American Society for Quality, American Chemical Society, International Biometric Society, and for many corporations.Kuhn and Johnson have also authored Applied Predictive Modeling, which is a comprehensive, practical guide to the process of building a predictive model. The text won the 2014 Technometrics Ziegel Prize for Outstanding Book. Details ISBN 1032090855 ISBN-13 9781032090856 Title Feature Engineering and Selection Author Max Kuhn, Kjell Johnson Format Paperback Year 2021 Pages 314 Publisher Taylor & Francis Ltd GE_Item_ID:138175592; 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: 71.13 USD
Location: Calgary, Alberta
End Time: 2025-01-11T03:17:32.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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Item must be returned within: 30 Days
Refund will be given as: Money Back
ISBN-13: 9781032090856
Book Title: Feature Engineering and Selection
Number of Pages: 314 Pages
Language: English
Publication Name: Feature Engineering and Selection
Publisher: CRC Press LLC
Subject: Intelligence (Ai) & Semantics, Mechanical, General, Statistics
Publication Year: 2021
Item Weight: 16 Oz
Type: Textbook
Subject Area: Computers, Technology & Engineering, Business & Economics
Item Length: 10 in
Author: Kjell Johnson, Max Kuhn
Item Width: 7 in
Series: Chapman and Hall/Crc Data Science Ser.
Format: Trade Paperback