This book provides a complete illustration of deep learning concepts with case-studies and practical examples useful for real time applications. This book intro

"This book introduces machine learning for readers with some background in basic linear algebra, statistics, probability, and programming. In a coherent statist

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Rigorous treatment of the theory of deep learning from first principles, with applications to beautiful problems in the natural sciences.

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the P