
Ensembles in Machine Learning Applications (English, Oleg Okun | Giorgio Valentini | Matteo Re)
by Oleg Okun | Giorgio Valentini | Matteo Re
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Ensembles in Machine Learning Applications by Oleg Okun | Giorgio Valentini | Matteo Re is listed under Computer Science on BookBajar. Full details, specifications and reader reviews are below.
Book Details
Publisher
Springer
Language
English
ISBN-13
9783642229091
ISBN-10
3642229093
Author
Oleg Okun | Giorgio Valentini | Matteo Re
About the Book
This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the European Conference on Machine Learning and Principles and Practice o
ISBN: 9783642229091
ISBN-13: 9783642229091
ISBN-10: 3642229093
Reader's Guide
What This Book Covers
- ·The main subject matter of Ensembles in Machine Learning Applications
- ·Ideas and detail relevant to Computer Science
- ·Context that helps make sense of the material as a whole
Best Suited For
Developers, IT professionals, and CS students.
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 Ensembles in Machine Learning Applications?
Ensembles in Machine Learning Applications starts from ₹5235 at BookBajar. Available in Paperback.
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Oleg Okun | Giorgio Valentini | Matteo Re is the author of Ensembles in Machine Learning Applications. Browse more books by Oleg Okun | Giorgio Valentini | Matteo Re on BookBajar.
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What is the ISBN of Ensembles in Machine Learning Applications?
Ensembles in Machine Learning Applications has ISBN 9783642229091 (ISBN-10: 3642229093). Use this to confirm you're ordering the exact edition listed here.
What can I expect from Ensembles in Machine Learning Applications?
About the Book This book contains the extended papers presented at the 3rd Workshop on Supervised and Unsupervised Ensemble Methods and their Applications (SUEMA) that was held in conjunction with the
Product ID: isbn-9783642229091
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