Encyclopedia of Machine Learning by Claude Sammut (Editor); Geoffrey I. Webb (Editor)
This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest. The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.
ISBN: There are a few ways to create student's account in Turnitin; 1. Instructors may add their student in a class one by one by entering the first name, last name, and student email in a class, or 2. Instructors may upload a student list to a class. The list must contain first name, last name and email address in according order: first name, last name, email address. Instructor may upload either Word, Excel, or plain text format. or 3. Instructors may provide their students with a Class ID# and Enrollment Password for them to create Turnitin account by themselve.
Publication Date: 2011-03-28
Dictionary of Mechanical Engineering by
This illustrated dictionary provides coverage of terms used in mechanical and manufacturing engineering. This edition is extensively cross-referenced and contains over 4500 new terms.
Encyclopedia of Machine Learning by
This comprehensive encyclopedia, with over 250 entries in an A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of machine learning. Most entries in this preeminent work include useful literature references. Topics for the Encyclopedia of Machine Learning were selected by a distinguished international advisory board. These peer-reviewed, highly-structured entries include definitions, illustrations, applications, bibliographies and links to related literature, providing the reader with a portal to more detailed information on any given topic. The style of the entries in the Encyclopedia of Machine Learning is expository and tutorial, making the book a practical resource for machine learning experts, as well as professionals in other fields who need to access this vital information but may not have the time to work their way through an entire text on their topic of interest. The authoritative reference is published both in print and online. The print publication includes an index of subjects and authors. The online edition supplements this index with hyperlinks as well as internal hyperlinks to related entries in the text, CrossRef citations, and links to additional significant research.
