The Pragmatic Programmer for Machine Learning
eBook - ePub

The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

  1. 340 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

The Pragmatic Programmer for Machine Learning

Engineering Analytics and Data Science Solutions

About this book

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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Yes, you can access The Pragmatic Programmer for Machine Learning by Marco Scutari,Mauro Malvestio in PDF and/or ePUB format, as well as other popular books in Informatique & Statistiques pour les entreprises et l'économie. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Dedication Page
  7. Contents
  8. Preface
  9. 1 What Is This Book About?
  10. I Foundations of Scientific Computing
  11. II Best Practices for Machine Learning Pipelines
  12. III Tools and Technologies
  13. IV A Case Study
  14. Bibliography
  15. Index