作者
Ganesh Khekare, Lokesh Kumar Bramhane, Chetan Dhule, Rahul Agrawal, Anil V Turukmane
发表日期
2022/6/5
图书
Integrating Meta-Heuristics and Machine Learning for Real-World Optimization Problems
页码范围
419-442
出版商
Springer International Publishing
简介
The use of machine learning algorithms in last decade has been enormously increased. It has opened the door to several opportunities in various fields of research and business. However, identifying the appropriate algorithm for a particular program has always been an enigma, and that necessitates to be solved ere the development of any machine learning system. Let’s take the example of the weather forecasting prediction system, it is used to identify the future weather prediction of a particular country or continent. Now, it is a daunting task to find the right algorithm or model for such a purpose that can predict accurate values. There are several other systems such as recommendation systems, sales prediction of a mega-store, stock prediction systems, or predicting what are the chances of a driver meeting an accident based on his past records and the road they’ve taken. These problem statements require to be …
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