MACHINE LEARNING
PRINCIPLES AND ITS APPLICATIONS
LAP Lambert Academic Publishing
Published on 10. May 2022
Book
Paperback/Softback
144 pages
978-620-4-75166-5 (ISBN)
Description
Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. The Understanding Machine Learning book offers a structured introduction to machine learning. The book dives into the fundamental theories and algorithmic paradigms of machine learning, and mathematical derivations. Machine learning presents a wide array of machine learning topics in an easy-to-understand way. The Understanding Machine Learning book is fitting for anyone ranging from computer science students to non-expert readers in computer science, engineering, mathematics, and statistics. The machine learning book can also act as a walkthrough for developers for writing their own programs meant for acquiring data with the aim of analysis. The Machine Learning in Action book goes in-depth in discussing the algorithms forming the basis of various machine learning techniques.
More details
Language
English
Dimensions
Height: 220 mm
Width: 150 mm
Thickness: 9 mm
Weight
233 gr
ISBN-13
978-620-4-75166-5 (9786204751665)
Schweitzer Classification
Persons
1Dr.A.Gnana Soundari,Professor,Department of Information Technology Jeppiaar Engineering College, Chennai- 600119 Tamil Nadu, India. 2Dr. R. Dhanalakshmi,Professor,Department of Computer Science and EngineeringSaveetha School of Engineering SIMATS, Thandalam, Chennai - 602 105,Tamil Nadu, India.