Description: Machine Learning for Hackers by Drew Conway Estimated delivery 4-14 business days Format Paperback Condition Brand New Description Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. Publisher Description Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data. With this book, youll learn machine learning and statistics tools in a practical fashion, using black-box solutions and case studies instead of a traditional math-heavy presentation. By exploring each problem in this book in depth - including both viable and hopeless approaches - youll learn to recognize when your situation closely matches traditional problems. Then youll discover how to apply classical statistics tools to your problem. Machine Learning for Hackers is ideal for programmers from private, public, and academic sectors. Author Biography Drew Conway is a PhD candidate in Politics at NYU. He studies international relations, conflict, and terrorism using the tools of mathematics, statistics, and computer science in an attempt to gain a deeper understanding of these phenomena. His academic curiosity is informed by his years as an analyst in the U.S. intelligence and defense communities. John Myles White is a PhD candidate in Psychology at Princeton. He studies pattern recognition, decision-making, and economic behavior using behavioral methods and fMRI. He is particularly interested in anomalies of value assessment. Details ISBN 1449303714 ISBN-13 9781449303716 Title Machine Learning for Hackers Author Drew Conway Format Paperback Year 2012 Pages 300 Publisher OReilly Media GE_Item_ID:43718950; 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: 49.79 USD
Location: Calgary, Alberta
End Time: 2024-11-17T04:51:43.000Z
Shipping Cost: 0 USD
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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: 9781449303716
Book Title: Machine Learning for Hackers
Number of Pages: 322 Pages
Publication Name: Machine Learning for Hackers : Case Studies and Algorithms to Get You Started
Language: English
Publisher: O'reilly Media, Incorporated
Subject: Machine Theory, Programming / Algorithms, Natural Language Processing
Publication Year: 2012
Item Height: 0.7 in
Type: Textbook
Item Weight: 20.2 Oz
Subject Area: Computers
Item Length: 9.1 in
Author: John Myles White, Drew Conway
Item Width: 7 in
Format: Trade Paperback