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This book provides a practical approach to understanding and applying machine learning and deep learning algorithms using MATLAB and Python. It is designed specifically for graduate and postgraduate students, as well as researchers, who seek to grasp the fundamentals of machine learning through hands-on examples and MATLAB code. The authors aim to demystify machine learning concepts and offer comparative analyses with Python for deep learning. The book covers basic algorithms, pattern recognition, data visualization, and real-time applications, focusing on practical implementation rather than theoretical mathematics. It addresses the needs of engineering students and professionals who wish to apply machine learning in various fields, including health monitoring and neural networks.
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