The Pragmatic Programmer for Machine Learning

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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. Comprising a complete overview of how to design machine learning pipelines, this book provides a multi-disciplinary view of how traditional software learning practices can be integrated with the workflows of domain experts. This guide to software engineering will appeal to machine learning and data science specialists, whilst also utilising natural language and clear case studies to be accessible for students of computer science and aspiring programmers.