Machine Learning Algorithms and Applications

丛 书 名：Sustainable computing and optimization

版本说明：1

作     者：Mettu Srinivas G. Sucharitha Anjanna Matta Prasenjit Chatterjee 

I S B N：(纸本) 9781119768852 

出 版 社：Scrivener Publishing LLC 

出 版 年：2021年

页      数：xvii, 335 pages :页

主 题 词：Computer algorithms. Machine learning. 

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 08[工学] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

摘      要：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.