by Jorge Bravo Abad · Ediciones Pirámide · libro de bolsillo · ISBN 9788436851670
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This manual is an essential guide for students in the final years of scientific degrees and researchers looking to integrate artificial intelligence into their professional practice. With a rigorous approach, the work combines mathematical and conceptual foundations with practical applications, covering everything from classical machine learning to deep neural networks and generative models.
The book stands out for its attention to sparse data and best practices in modeling, using examples implemented in Python with libraries such as scikit-learn and PyTorch. Based on teaching experience at the Autonomous University of Madrid, this text serves as a solid bridge between traditional scientific training and the AI techniques that are transforming contemporary research.
