Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. T
Machine Learning Algorithms and Applications in Engineering
โ Scribed by Prasenjit Chatterjee; Morteza Yazdani; Francisco Fernรกndez-Navarro; Javier Pรฉrez-Rodrรญguez
- Publisher
- CRC Press
- Year
- 2023
- Tongue
- English
- Leaves
- 399
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
Discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks.
๐ SIMILAR VOLUMES
<span><p><b>This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners</b>. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from
<span>This book introduces basic machine learning concepts and applications for a broad audience that includes students, faculty, and industry practitioners. We begin by describing how machine learning provides capabilities to computers and embedded systems to learn from data. A typical machine lear