| The Pragmatic Programmer for Machine Learning (Chapman and Hall) |
| Wednesday, 16 April 2025 | |||
This book discusses how to use modern software engineering practices for machine learning. 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, Marco Scutari and Mauro Malvestio provide a multi-disciplinary view of how traditional software engineering can be adapted to and integrated with the workflows of domain experts and probabilistic models.
Author: Marco Scutari and Mauro Malvestio
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 principles in a way that is approachable for students of computer science and aspiring programmers. For more Book Watch just click. Book Watch is I Programmer's listing of new books and is compiled using publishers' publicity material. It is not to be read as a review where we provide an independent assessment. Some, but by no means all, of the books in Book Watch are eventually reviewed. To have new titles included in Book Watch contact BookWatch@i-programmer.info Follow @bookwatchiprog on Twitter or subscribe to I Programmer's Books RSS feed for each day's new addition to Book Watch and for new reviews.
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