Machine Learning: Theoretical Foundations and Practical Applications (1st ed. 2021) (Studies in Big Data #87)
By: and
Sign Up Now!
Already a Member? Log In
You must be logged into UK education collection to access this title.
Learn about membership options,
or view our freely available titles.
- Synopsis
- This edited book is a collection of chapters invited and presented by experts at 10th industry symposium held during 9–12 January 2020 in conjunction with 16th edition of ICDCIT. The book covers topics, like machine learning and its applications, statistical learning, neural network learning, knowledge acquisition and learning, knowledge intensive learning, machine learning and information retrieval, machine learning for web navigation and mining, learning through mobile data mining, text and multimedia mining through machine learning, distributed and parallel learning algorithms and applications, feature extraction and classification, theories and models for plausible reasoning, computational learning theory, cognitive modelling and hybrid learning algorithms.
- Copyright:
- 2021
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9789813365186
- Related ISBNs:
- 9789813365179
- Publisher:
- Springer Singapore, Singapore
- Date of Addition:
- 05/30/21
- Copyrighted By:
- The Editor
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Technology, Communication
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
- Edited by:
- Manjusha Pandey
- Edited by:
- Siddharth Swarup Rautaray
Reviews
Other Books
- by Manjusha Pandey
- by Siddharth Swarup Rautaray
- in Nonfiction
- in Computers and Internet
- in Technology
- in Communication