Description: Machine Learning by Stephen Marsland Estimated delivery 4-14 business days Format Hardcover Condition Brand New Description A Proven, Hands-On Approach for Students without a Strong Statistical FoundationSince the best-selling first edition was published, there have been several prominent developments in the field of machine learning, including the increasing work on the statistical interpretations of machine learning algorithms. Unfortunately, computer science students without a strong statistical background often find it hard to get started in this area. Remedying this deficiency, Machine Learning: An Algorithmic Perspective, Second Edition helps students understand the algorithms of machine learning. It puts them on a path toward mastering the relevant mathematics and statistics as well as the necessary programming and experimentation.New to the Second EditionTwo new chapters on deep belief networks and Gaussian processes Reorganization of the chapters to make a more natural flow of contentRevision of the support vector machine material, including a simple implementation for experimentsNew material on random forests, the perceptron convergence theorem, accuracy methods, and conjugate gradient optimization for the multi-layer perceptronAdditional discussions of the Kalman and particle filtersImproved code, including better use of naming conventions in PythonSuitable for both an introductory one-semester course and more advanced courses, the text strongly encourages students to practice with the code. Each chapter includes detailed examples along with further reading and problems. All of the code used to create the examples is available on the authors website. Author Biography Stephen Marsland is a professor of scientific computing and the postgraduate director of the School of Engineering and Advanced Technology (SEAT) at Massey University. His research interests in mathematical computing include shape spaces, Euler equations, machine learning, and algorithms. He received a PhD from Manchester University Details ISBN 1466583282 ISBN-13 9781466583283 Title Machine Learning Author Stephen Marsland Format Hardcover Year 2014 Pages 458 Edition 2nd Publisher Taylor & Francis Inc GE_Item_ID:88493488; 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: 127.47 USD
Location: Calgary, Alberta
End Time: 2025-01-09T04:11:37.000Z
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Restocking Fee: No
Return shipping will be paid by: Buyer
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ISBN-13: 9781466583283
Book Title: Machine Learning
Number of Pages: 457 Pages
Language: English
Publication Name: Machine Learning : an Algorithmic Perspective, Second Edition
Publisher: CRC Press LLC
Publication Year: 2014
Item Height: 1.2 in
Subject: Programming / Algorithms, General, Databases / Data Mining
Type: Textbook
Item Weight: 35.3 Oz
Subject Area: Computers
Item Length: 10.2 in
Author: Stephen Marsland
Item Width: 7.3 in
Format: Hardcover