
Introduction to Machine Learning
LAP Lambert Academic Publishing
Published on 27. November 2024
Book
Paperback/Softback
176 pages
978-3-330-05535-3 (ISBN)
Description
Machine Learning is a groundbreaking field of artificial intelligence that enables systems to learn and make data-driven decisions with minimal human intervention. By leveraging statistical models, algorithms, and computational techniques, it uncovers patterns in data to address complex problems across diverse domains, including healthcare, finance, robotics, and natural language processing. This book offers a comprehensive exploration of core concepts, supervised and unsupervised learning, statistical approaches, and cutting-edge applications, making it an invaluable resource for students, researchers, and professionals alike.
More details
Language
English
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 11 mm
Weight
280 gr
ISBN-13
978-3-330-05535-3 (9783330055353)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
Dr. Srilali Siragam is an Associate Professor at Swarnandhra College of Engineering, specializing in ceramic nanocomposites. He has published extensively in leading journals and has contributed to books and conference proceedings.