Machine Learning Production Systems - Engineering Machine Learning Models and Pipelines

"Using machine learning for products, services, and critical business processes is quite different from using ML in an academic or research setting--especially for recent ML graduates and those moving from research to a commercial environment. Whether you currently work to create products and services that use ML, or would like to in the future, this practical book gives you a broad view of the entire field"--

About the author

Robert Crowe is a data scientist and TensorFlow enthusiast. Robert has a passion for helping developers quickly learn what they need to be productive. Robert is the Senior Product Manager for TensorFlow Open-Source and MLOps at Google and helps ML teams meet the challenges of creating products and services with ML. Previously, Robert led software engineering teams for both large and small companies, always focusing on clean, elegant solutions to well-defined needs.

Product details

• Authors: Emily Caveness, Robert Crowe, Crowe Robert, Hannes Hapke, Catherine Nelson, Di Zhu
• Publisher: O'Reilly
• Languages: English
• Product format: Paperback / Softback
• Released: 01.09.2024
• EAN: 9781098156015
• ISBN: 978-1-0981-5601-5
• Dimensions: 178 mm x 233 mm x 25 mm
• Weight: 830 g
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks; machine learning, Artificial Intelligence, BUSINESS & ECONOMICS / Operations Research, COMPUTERS / Machine Theory, Artificial Intelligence (AI), Enterprise Software, Mathematical theory of computation, Operational research, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Machine Learning, COMPUTERS / Business & Productivity Software / General