Fundamentals of Machine Learning a Simplified Approach


Free Download Fundamentals of Machine Learning: a Simplified Approach
English | 2025 | ISBN: 9789364183444 | 312 pages | (True) | 1.57 MB
This book aims to serve as a introduction to the principles, algorithms, and applications of machine learning, with a particular emphasis on both foundational and cutting-edge techniques. It is designed for students, researchers, and practitioners who wish to deepen their understanding of machine learning concepts, explore their applications, and grasp the underlying frameworks.


The content spans a broad range of topics, beginning with fundamental machine learning concepts, such as regression, decision trees, and networks. It then delves into specialized domains like support vector machines, reinforcement learning, and convolutional neural networks. Along the way, readers will encounter detailed explanations of key algorithms, including ID3, Q-learning, and deep Q-learning, as well as practical insights into their implementation. Real-world case studies-such as diabetic retinopathy using convolutional neural networks, smart speakers, and self-driving cars-illustrate the transformative potential of these techniques.

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