Machine Learning Algorithms and Applications: Theory and Applications Hardcover – 25 Oct. 2021
by: Mettu Srinivas,G. Sucharitha,Anjanna Matta (Editor)
Publisher Finelybook 出版社: Wiley-Scrivener; 1st edition (25 Oct. 2021)
Language 语言: English
Hardcover: 368 pages
ISBN-10: 1119768853
ISBN-13: 9781119768852
Book Description
Machine Learning Algorithms is for current and ambitious machine learning specialists looking to implement solutions to real-world machine learning problems. It talks entirely about the various applications of machine and deep learning techniques,with each chapter dealing with a novel approach of machine learning architecture for a specific application,and then compares the results with previous algorithms.
The book discusses many methods based in different fields,including statistics,pattern recognition,neural networks,artificial intelligence,sentiment analysis,control,and data mining,in order to present a unified treatment of machine learning problems and solutions. All learning algorithms are explained so that the user can easily move from the equations in the book to a computer program
Machine Learning Algorithms and Applications: Theory and Applications
相关推荐
- Harnessing Machine Learning for Environmental Restoration and Surveillance
- Communication, Control and Security Challenges for the Smart Grid: Advanced security, optimization, and emerging technologies in smart grids, 2nd Edition
- Machine Learning based Approaches for Pedagogical Data Analysis
- Probability and Optimization for Engineers: Probabilistic Design, Optimum Design, Finite Element Method, Artificial Intelligence
finelybook
