Description: Description An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform.Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra. WORLDWIDE SHIPPING POLICYItem will be send by ordinary registered airmail service (India Post) which may take 10 to 15 days but we assume maximum 28 business days for deliver it . You will have to sing on delivery at the time of receiving itemWe also provide speed post shipping service (EMS) . For this service you need to pay shipping charges. As per the item weight and country location. RETURN POLICYIn case of any problems after receiving the item. Please contact within 7 days and only the purchase amount will be refunded not the postage amount. One side postage for returning the item will be paid by the buyer. Money will be refunded by Paypal after the item is received.CUSTOM POLICYImport duties, taxes and charges are not included in the item price or the shipping charges. These charges are the buyer's responsibility. Please check with your local customs authority to determine these additional costs prior to bidding or buying.LEGAL DISCLAIMERWhile we work to ensure that product information is correct, on occasion manufacturers may alter their ingredient lists. Actual product packaging and materials may contain more and/or different information than that shown on our web site. We recommend that you do not solely rely on the information presented and that you always read labels, warnings, and directions before using or consuming a product. For additional information about a product, please contact the manufacturer.FEEDBACK POLICYPlease do not leave a negative feedback as a way to communicate. Any rating given to a seller can neither be changed nor modified. So better, communicate for faster resolution to any disputes.If you have any concerns regarding your purchase, please contact satisfactory resolution will be reached. If you like our product tell others, if not tell us, we will do our best to deliver as per commitment. Our first priority is buyer’s satisfaction and we always ready to take every possible steps in buyer favor.CONTACT USFor Any query , we request you to either use the ask question button. we normally reply back the same day or the next working day. We are available 24*7.We reply back to emails within 12-24 Hours.
Price: 40.81 USD
Location: DELHI, DELHI
End Time: 2024-11-16T15:49:09.000Z
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Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 60 Days
Refund will be given as: Money back or replacement (buyer's choice)
Topic: Books
Book Title: An Introduction to Statistical Learning
SKU: SAA4919-2%
Number of Pages: Xiv, 426 Pages
Language: English
Publication Name: Introduction to Statistical Learning : with Applications in R
Publisher: Springer New York
Subject: Mathematical & Statistical Software, Intelligence (Ai) & Semantics, Probability & Statistics / General
Item Height: 0.9 in
Publication Year: 2017
Type: Textbook
Item Weight: 35.8 Oz
Author: Trevor Hastie, Gareth James, Robert Tibshirani, Daniela Witten
Item Length: 9.5 in
Subject Area: Mathematics, Computers
Item Width: 6.4 in
Series: Springer Texts in Statistics Ser.
Format: Hardcover