The Pragmatic Programmer for Machine Learning
engineering analytics and data science solutions
$98.58
- Paperback
340 pages
- Release Date
1 April 2025
Summary
Master Machine Learning with Pragmatic Programming
Machine learning has redefined how we work with data and is increasingly indispensable in 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 applications.
This book provides a broad overview of designing machine learning pipelines and …
Book Details
| ISBN-13: | 9780367255060 |
|---|---|
| ISBN-10: | 0367255065 |
| Series: | Chapman & Hall/CRC Machine Learning & Pattern Recognition |
| Author: | Marco Scutari, Mauro Malvestio |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | Chapman & Hall/CRC |
| Format: | Paperback |
| Number of Pages: | 340 |
| Release Date: | 1 April 2025 |
| Weight: | 660g |
| Dimensions: | 234mm x 156mm |
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About The Author
Marco Scutari
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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