Khanna V. Introduction to Machine Learning Algorithms. Basic Principles...2026
Books · 50.5 MB · 14 S / 5 L- Torrent
-
Info hash: 3F1C8C1C815C4BCCE8B9E158A3AE592A5B7BE038
- Verifile
- Not checked yet
- Similar torrents
-
- More Books
-
Name Uploaded Size S L By The Misogynists: A Reckoning with Modern Art - Allison Leigh 
2026-11-11 634.4 MB 24 13 anonymous Elsbeth S04E05 All About Eats 1080p WEB H264 - MeGusta 
2026-11-07 1.1 GB 139 18 anonymous When There Are Wolves Again - E. J. Swift 
2026-11-12 527.4 MB 15 21 anonymous Dracula - Audible Original - Bram Stoker 
2026-10-01 327.3 MB 112 11 anonymous Coventry: Thursday 14 November 1940 - Frederick Taylor 
2026-11-12 302.3 MB 24 12 anonymous Marshals S02E06 Roughstock 1080p WEB H264 - MeGusta 2026-11-07 745.5 MB 368 36 anonymous The Scaling Era: An Oral History of AI, 2019-2025 - Dwarkesh Patel 
2026-11-12 307.0 MB 22 47 anonymous The Furies - Natalie Haynes 
2026-11-12 249.1 MB 29 28 anonymous - Uploader
- andryold1
- Source
The Pirate Bay- Downloads
- 400
- Description
- Textbook in PDF format Mathematics is the foundation of machine learning algorithms. To understand the shortcomings of existing algorithms and develop more effective methods, it is essential to understand the mathematical concepts underlying these algorithms and their operational principles. This book serves as an introductory resource, outlining the preliminary concepts and offering insights into the mathematical foundations and operational mechanisms of machine learning algorithms. It describes the basic equations and interrelates the questions arising during practical applications of machine learning with the basic mathematical picture of the algorithms used. • Introduces machine learning, highlights the central role of algorithms in machine learning, and explains the core mathematical prerequisites to understanding machine learning algorithms • Systematically examines the sequential steps of classical machine learning algorithms used for classification of datasets into distinct groups, regression, and clustering analysis • Provides an overview of value, policy, and model-based reinforcement learning algorithms This book is for academicians, scholars, students, and professionals engaged in the study of machine learning and artificial intelligence. Vinod Kumar Khanna, PhD (Physics), is an independent researcher at Chandigarh, India. He is a former emeritus scientist, Council of Scientific and Industrial Research (CSIR), India, and Emeritus Professor, Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India; a retired chief scientist, CSIR-Central Electronics Engineering Research Institute, Pilani, India, and Professor, AcSIR, India. He has worked for more than 37 years on the design, fabrication, and characterization of power semiconductor devices, MEMS, and nanotechnology-based sensors. He has published 194 research papers in refereed journals and conference proceedings, 23 books, and 6 chapters in edited books. He has five patents to his credit, including two US and three Indian patents.ii is blank
- Category
- Books
- Size
- 50.5 MB
- Added
- 2026-04-23 12:07 (6 months, 2 weeks ago)
- Peers
- 14 seeders, 5 leechers (checked 1 day, 6 hours ago)
- Trackers
Tracker Seeders Leechers Completed udp://tracker.rarbg.unblockninja.st:6969/announce 0 0 0 udp://tracker.opentrackr.org:1337/announce (Failed to scrape UDP tracker) 0 0 0 udp://open.demonoid.ch:6969/announce (Failed to scrape UDP tracker) 0 0 0 udp://open.demonii.com:1337/announce 7 1 0 udp://open.stealth.si:80/announce 13 1 400 udp://explodie.org:6969/announce 0 0 0 udp://exodus.desync.com:6969/announce (Failed to scrape UDP tracker) 0 0 0 udp://wepzone.net:6969/announce 1 0 0 udp://tracker1.myporn.club:9337/announce (Failed to scrape UDP tracker) 0 0 0 udp://tracker.srv00.com:6969/announce (Failed to scrape UDP tracker) 0 0 0 - Files
- Khanna V. Introduction to Machine Learning Algorithms. Basic Principles...2026.pdf50.5 MB
Discussion
You need an account to post, vote or save.
Loading comments…