Algorithmic Learning Theory (English, Shai Ben David | John Case | Akira Maruoka)
by Shai Ben David | John Case | Akira Maruoka
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Algorithmic Learning Theory by Shai Ben David | John Case | Akira Maruoka is listed under Programming on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
Springer
Language
English
ISBN-13
9783540233565
ISBN-10
3540233563
Author
Shai Ben David | John Case | Akira Maruoka
About the Book
Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics. There is also considerable interaction with the practical, empirical ?elds of machine and statistical learning in which a principal aim is to predict, from past data about phenomena, useful features of future d…
ISBN: 9783540233565
ISBN-13: 9783540233565
ISBN-10: 3540233563
Reader's Guide
What This Book Covers
- ·The main subject matter of Algorithmic Learning Theory
- ·Ideas and detail relevant to Programming
- ·Context that helps make sense of the material as a whole
Best Suited For
Programmers and students learning to build software.
Why It Stands Out
- ·Ships as a genuine physical copy, checked before dispatch
- ·Covered by BookBajar's 15-day return window
Frequently Asked Questions
What is the price of Algorithmic Learning Theory?
Algorithmic Learning Theory starts from ₹5816 at BookBajar. Available in Paperback.
Who is the author of Algorithmic Learning Theory?
Shai Ben David | John Case | Akira Maruoka is the author of Algorithmic Learning Theory. Browse more books by Shai Ben David | John Case | Akira Maruoka on BookBajar.
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What is the ISBN of Algorithmic Learning Theory?
Algorithmic Learning Theory has ISBN 9783540233565 (ISBN-10: 3540233563). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Algorithmic Learning Theory?
About the Book Algorithmic learning theory is mathematics about computer programs which learn from experience. This involves considerable interaction between various mathematical disciplines including theory of computation, statistics, and c- binatorics.
Product ID: isbn-9783540233565
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