Machine learning crash course for engineers

Eklas Hossain

doi:10.1007/978-3-031-46990-9

Machine learning crash course for engineers

Eklas Hossain

Electrical Engineering Department

Research output: Book/Report › Book › peer-review

8 Scopus citations

Abstract

?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.

Original language	English
Number of pages	453
ISBN (Electronic)	9783031469909
DOIs	https://doi.org/10.1007/978-3-031-46990-9
State	Published - 26 Dec 2023

Keywords

Application of machine learning
Computational intelligence
Deep learning
Introduction to machine learning
Machine learning
Machine learning algorithms
Machine learning textbook
Neural networks
Reinforcement learning
Semi-supervised learning
Signal processing
Supervised learning
Unsupervised learning

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10.1007/978-3-031-46990-9

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KW - Application of machine learning

KW - Computational intelligence

KW - Deep learning

KW - Introduction to machine learning

KW - Machine learning

KW - Machine learning algorithms

KW - Machine learning textbook

KW - Neural networks

KW - Reinforcement learning

KW - Semi-supervised learning

KW - Signal processing

KW - Supervised learning

KW - Unsupervised learning

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Machine learning crash course for engineers

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Keywords

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