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The Pragmatic Programmer for Machine Learning

- Engineering Analytics and Data Science Solutions
Af: Marco Scutari, Mauro Malvestio Engelsk Paperback

The Pragmatic Programmer for Machine Learning

- Engineering Analytics and Data Science Solutions
Af: Marco Scutari, Mauro Malvestio Engelsk Paperback
Tjek vores konkurrenters priser

Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions.

Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models.

From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.

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Machine learning has redefined the way we work with data and is increasingly becoming an indispensable part of everyday life. The Pragmatic Programmer for Machine Learning: Engineering Analytics and Data Science Solutions discusses how modern software engineering practices are part of this revolution both conceptually and in practical applictions.

Comprising a broad overview of how to design machine learning pipelines as well as the state-of-the-art tools we use to make them, this book provides a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models.

From choosing the right hardware to designing effective pipelines architectures and adopting software development best practices, this guide will appeal to machine learning and data science specialists, whilst also laying out key high-level principlesin a way that is approachable for students of computer science and aspiring programmers.

Produktdetaljer
Sprog: Engelsk
Sider: 340
ISBN-13: 9780367255060
Indbinding: Paperback
Udgave:
ISBN-10: 0367255065
Udg. Dato: 13 apr 2025
Længde: 24mm
Bredde: 157mm
Højde: 233mm
Forlag: Taylor & Francis Ltd
Oplagsdato: 13 apr 2025
Forfatter(e) Marco Scutari, Mauro Malvestio


Kategori Automatisk styrings- & reguleringsteknik


ISBN-13 9780367255060


Sprog Engelsk


Indbinding Paperback


Sider 340


Udgave


Længde 24mm


Bredde 157mm


Højde 233mm


Udg. Dato 13 apr 2025


Oplagsdato 13 apr 2025


Forlag Taylor & Francis Ltd

Kategori sammenhænge