TY  - BOOK
AU  - Hossain,Eklas
ED  - SpringerLink (Online service)
TI  - Machine Learning Crash Course for Engineers
SN  - 9783031469909
AV  - Q325.5-.7 
PY  - 2024///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - Machine learning
KW  - Computational intelligence
KW  - Electrical engineering
KW  - Signal processing
KW  - Electric power production
KW  - Machine Learning
KW  - Computational Intelligence
KW  - Electrical and Electronic Engineering
KW  - Signal, Speech and Image Processing
KW  - Electrical Power Engineering
N1  - Introduction to Machine Learning -- Evaluation Criteria and Model Selection -- Machine Learning Algorithms -- Applications of Machine Learning: Signal/Image Processing -- Applications of Machine Learning: Energy Systems -- Applications of Machine Learning: Robotics -- State of the Art of Machine Learning
N2  - Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to machine learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of machine learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement machine learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of machine learning quickly. A concise guide to the basics of algorithms, building models, and performance evaluation; Offers highly illustrated, step-by-step guidelines with Python programming examples; Provides examples and exercises related to signal and image processing, energy systems, and robotics
UR  - https://doi.org/10.1007/978-3-031-46990-9
ER  -