The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions (Chapman & Hall/CRC Machine Learning & Pattern Recognition) - Tapa blanda

Scutari, Marco; Malvestio, Mauro

 
9780367255060: The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
Tapa blanda
ISBN 10: 0367255065 ISBN 13: 9780367255060
Editorial: Chapman and Hall/CRC, 2025

Sinopsis

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life, yet software engineering has played a remarkably small role compared to other disciplines. This book addresses such a disparity.

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Acerca del autor

Marco Scutari is a Senior Researcher at Istituto Dalle Molle di Studi sull'Intelligenza Artificiale (IDSIA), Switzerland. He has held positions in statistics, statistical genetics and machine learning in the UK and Switzerland since completing his PhD in statistics in 2011. His research focuses on the theory of Bayesian networks and their applications to biological and clinical data, as well as statistical computing and software engineering.

Mauro Malvestio is a senior technologist based in Milan, Italy, with more than 15 years of experience in software engineering and IT operations in consulting and product companies as a CTO. His research focuses on software engineering, machine learning systems, embedded systems and cloud computing.

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Editorial
Chapman and Hall/CRC
Año de publicación
2025
Idioma
Inglés
ISBN 10 
0367255065
ISBN 13 
9780367255060
Encuadernación
Tapa blanda
Número de edición
1
Número de páginas
356
Contacto del fabricante
no disponible
Persona responsable
no disponible

Otras ediciones populares con el mismo título

9780367263508: The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions (Chapman & Hall/CRC Machine Learning & Pattern Recognition)

Edición Destacada

ISBN 10:  0367263505 ISBN 13:  9780367263508
Editorial: Chapman and Hall/CRC, 2023
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