245 12 |a The pragmatic programmer for machine learning : |b engineering analytics and data science solutions / |c Marco Scutari, Mauro Malvestio.

520 __ |a "The book provides a guide for data scientists and data analysts on modern software engineering to plan, implement, and improve the use of machine learning models. The book will also be useful to academics working in quantitative subjects where reliable software is required to obtain reproducible results and to increase the impact of research. It includes best practices on how best to implement models into code, how to document and troubleshoot code to ensure correctness, and how to deploy code into production. The book also explores how best practices are put to use in computing environments, using real-world examples and two case studies"-- |c Provided by publisher.