Description: Machine Learning by Charles River Estimated delivery 3-12 business days Format Paperback Condition Brand New Description *Includes pictures *Includes online resources and a bibliography for further reading Machine learning, in its broadest sense, is a series of methods to recognize and exploit patterns in data. The name comes from the goal of trying to automate (via machines) the process that humans have used to observe the world around them and draw conclusions (i.e. learn) from those observations. Although all practical work in the machine learning field is done through computer programming, the concepts are independent of programming knowledge and instead rely on a mathematical basis. This overview will look only at the conceptual and mathematical side of the field, with little mention of the programming or practical applications. There are a multitude of algorithms that are grouped within the general category of machine learning. Depending on the type of information available, as well as the goal of a problem, many techniques will not work well or simply be impossible to apply. The key to learning different algorithms is to know in which situation each functions best. In many situations there is some sample data from a system and the goal is to interpret this data to define the system or to predict the behavior of new situations. These techniques will be examined later in the overview. Initially, problems will not provide sample data, but instead define a problem according to some constraints; the goal will be to find an optimal solution given the constraints. Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. Along with pictures depicting important people, places, and events, you will learn about machine learning like never before. Details ISBN 1720477167 ISBN-13 9781720477167 Title Machine Learning Author Charles River Format Paperback Year 2018 Pages 34 Publisher Createspace Independent Publishing Platform GE_Item_ID:128937560; 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: 16.72 USD
Location: Fairfield, Ohio
End Time: 2024-12-28T06:58:03.000Z
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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: 9781720477167
Type: NA
Publication Name: NA
Book Title: Machine Learning: an Overview of Artificial Intelligence
Number of Pages: 34 Pages
Language: English
Publisher: CreateSpace
Publication Year: 2018
Item Height: 0.1 in
Topic: History
Genre: Science
Item Weight: 3.5 Oz
Author: Charles River Charles River Editors
Item Length: 9 in
Item Width: 6 in
Format: Trade Paperback