Machine Learning: A Constraint-Based Approach, 2nd Edition
Author: Marco Gori
Date: 2023
ISBN: 0323898599
Pages: 680
Language: English
Category: Technical
Tag: Science/Engineering
Posted on 2023-03-11, by temrick.
Description
Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and
algorithms of machine learning, with an emphasis on current topics of
interest that include neural networks and kernel machines. The book
presents the information in a truly unified manner that is based on the
notion of learning from environmental constraints. It draws a path
towards deep integration with machine learning that relies on the idea
of adopting multivalued logic formalisms, such as in fuzzy systems.
Special attention is given to deep learning, which nicely fits the
constrained-based approach followed in this book.
The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
The book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.
DOWNLOAD
https://nitroflare.com/view/DB5F51947CF325C/0323898599.pdf
Sponsored High Speed Downloads
7859 dl's @ 3262 KB/s
Download Now [Full Version]
7430 dl's @ 2544 KB/s
Download Link 1 - Fast Download
5043 dl's @ 2142 KB/s
Download Mirror - Direct Download
Search More...
Machine Learning: A Constraint-Based Approach, 2nd EditionLinks
Download this book
Download links for "Machine Learning: A Constraint-Based Approach, 2nd Edition":
External Download Link1:
Related Books
- Ebooks list page : 57478
- 2021-11-16Machine Learning A Constraint Based Approach [EPUB]
- 2021-09-28Machine Learning - A Constraint-Based Approach []
- 2017-11-26Machine Learning; A Constraint-Based Approach
- 2023-02-18Content Distribution for Mobile Internet A Cloud-based Approach (2nd Edition)
- 2022-09-23Practical MATLAB Deep Learning A Projects-Based Approach, Second Edition - Removed
- 2022-05-01Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control, 2nd Edition
- 2021-12-12Temporomandibular Disorders A Problem-Based Approach, 2nd Edition
- 2021-12-11Data Science and Machine Learning Interview Questions Using Python, 2nd Edition
- 2021-08-01Continuous-Time Asset Pricing Theory A Martingale-Based Approach, 2nd Edition - Removed
- 2021-07-09OReilly - Thoughtful Machine Learning A Test-Driven Approach 1st Edition Revision 2 2017 RETAiL M...
- 2021-07-09OReilly - Thoughtful Machine Learning A Test-Driven Approach 1st Edition Revision 2 2017 RETAiL e...
- 2021-07-09OReilly - Thoughtful Machine Learning A Test-Driven Approach 1st Edition Revision 2 2017 RETAiL i...
- 2021-06-03Machine Learning with the Elastic Stack, 2nd Edition (Code files) - Removed
- 2021-01-17Digital Signal Processing A Computer-Based Approach, 2nd Edition
- 2019-12-08Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures, 2nd Edition
- 2019-11-01Mastering Go: Create Golang production applications using network libraries, concurrency, machine learning, and advanced data structures, 2nd Edition
- 2019-02-06Python Machine Learning Blueprints: Put your machine learning concepts to the test , 2nd Edition - Removed
- 2019-01-24Operations Research A Model-Based Approach (2nd edition) - Removed
- 2019-01-15Python Machine Learning A Guide For Beginners (2nd Edition)
Comments
No comments for "Machine Learning: A Constraint-Based Approach, 2nd Edition".
Add Your Comments
- Download links and password may be in the description section, read description carefully!
- Do a search to find mirrors if no download links or dead links.
