PirateBay Download | khanna v introduction machine learning algorithms basic principles 2026

khanna v introduction machine learning algorithms basic principles 2026

Type:: E-books
Files:: 1
Size:: 50.5 MB
Uploaded On:: April 23, 2026, 9:32 a.m.
Added By:: andryold1
Seeders:: 1
Leechers:: 0
Info Hash:: 3F1C8C1C815C4BCCE8B9E158A3AE592A5B7BE038

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

Get This Torrent

Khanna V. Introduction to Machine Learning Algorithms. Basic Principles...2026.pdf 50.5 MB

Details for: Khanna V. Introduction to Machine Learning Algorithms. Basic Principles...2026

khanna v introduction machine learning algorithms basic principles 2026

Similar Posts: