Algorithms in Machine Learning Paradigms Hardback - 2020
by Jyotsna Kumar Mandal (Editor); Somnath Mukhopadhyay (Editor); Paramartha Dutta (Editor)
- New
- Hardback
A$328.46
A$15.60
Delivery to USA
Standard delivery: 7 to 12 days
More delivery options
Standard delivery: 7 to 12 days
Ships from Ria Christie Collections (Greater London, United Kingdom)
Details
- Title Algorithms in Machine Learning Paradigms
- Author Jyotsna Kumar Mandal (Editor); Somnath Mukhopadhyay (Editor); Paramartha Dutta (Editor)
- Binding Hardback
- Condition New
- Pages 195
- Volumes 1
- Language ENG
- Publisher Springer
- Publication date 2020-01-04
- Illustrated Yes
- Features Illustrated
- Bookseller's Inventory # ria9789811510403_inp
- ISBN 9789811510403 / 9811510407
- Weight 1.03 lbs (0.47 kg)
- Dimensions 9.21 x 6.14 x 0.5 in (23.39 x 15.60 x 1.27 cm)
- Category Mathematics
- Dewey Decimal Code 006.31
- Quantity available 460
About Ria Christie Collections Greater London, United Kingdom
Biblio member since 2014
Hello We are professional online booksellers. We sell mostly new books and textbooks and we do our best to provide a competitive price. We are based in Greater London, UK. We pride ourselves by providing a good customer service throughout, shipping the items quickly and replying to customer queries promptly. Ria Christie Collections
30 day return guarantee, with full refund including original shipping costs for up to 30 days after delivery if an item arrives misdescribed or damaged.
Reader reviews for Algorithms in Machine Learning Paradigms
Write a review for this book
Important Terms and Guidelines
- Please focus on the book’s content and context. Also, add any personal comments as to how you enjoyed the book. Substantiate your likes and dislikes. You may make comparisons to other books.
- Reviews must be at least 140 characters in length.
- Please do not reveal critical plot elements.
- This is not a help line. Contact customer support if you need help.
Your review must not include:
- Obscenities, discriminatory language, or other insulting language not suitable for public domain
- Advertisements, “spam” content, or references to other products, offers or websites.
- Email addresses, URLs, phone numbers, physical addresses or other contact information.
- Overly critical comments about other reviews or reviewers
- Time-sensitive material (i.e. promotional tours, seminars, lectures, etc.)
- Availability, price, or alternative ordering/shipping information
From the rear cover
This book presents studies involving algorithms in the machine learning paradigms. It discusses a variety of learning problems with diverse applications, including prediction, concept learning, explanation-based learning, case-based (exemplar-based) learning, statistical rule-based learning, feature extraction-based learning, optimization-based learning, quantum-inspired learning, multi-criteria-based learning and hybrid intelligence-based learning.
