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Foundations of Predictive Analytics by James Wu (English) Hardcover Book

Description: Foundations of Predictive Analytics by James Wu, Stephen Coggeshall Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Drawing on the authors two decades of experience in applied modeling and data mining, this self-contained book presents the fundamental background required for analyzing data and building models for many practical applications, such as consumer behavior modeling, Publisher Description Written by industry experts, this book introduces the various concepts, theorems, and algorithms widely used in statistical data analysis and data mining. It covers important topics in data mining, machine learning, and statistical pattern recognition, including linear and nonlinear regression models, time series analysis, and variable selection. The text also explores key topics that are not extensively covered in similar books, such as copula functions, incremental regression, censored data models, Dempster-Shafer theory, survival data analysis, and GARCH. Author Biography James Wu is a Fixed Income Quant with extensive expertise in a wide variety of applied analytical solutions in consumer behavior modeling and financial engineering. He previously worked at ID Analytics, Morgan Stanley, JPMorgan Chase, Los Alamos Computational Group, and CASA. He earned a PhD from the University of Idaho.Stephen Coggeshall is the Chief Technology Officer of ID Analytics. He previously worked at Los Alamos Computational Group, Morgan Stanley, HNC Software, CASA, and Los Alamos National Laboratory. During his over 20 year career, Dr. Coggeshall has helped teams of scientists develop practical solutions to difficult business problems using advanced analytics. He earned a PhD from the University of Illinois and was named 2008 Technology Executive of the Year by the San Diego Business Journal. Details ISBN 1439869464 ISBN-13 9781439869468 Title Foundations of Predictive Analytics Author James Wu, Stephen Coggeshall Format Hardcover Year 2012 Pages 338 Publisher Taylor & Francis Inc GE_Item_ID:139828319; 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: 108.9 USD

Location: Fairfield, Ohio

End Time: 2024-11-06T06:03:00.000Z

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Foundations of Predictive Analytics by James Wu (English) Hardcover Book

Item Specifics

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: 9781439869468

Book Title: Foundations of Predictive Analytics

Number of Pages: 338 Pages

Language: English

Publication Name: Foundations of Predictive Analytics

Publisher: CRC Press LLC

Publication Year: 2012

Item Height: 0.8 in

Subject: Programming / Games, Databases / Data Mining, Statistics

Type: Textbook

Item Weight: 23.2 Oz

Author: Stephen Coggeshall, James Wu

Subject Area: Computers, Business & Economics

Item Length: 9.5 in

Item Width: 6.5 in

Format: Hardcover

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