Skip to Content
Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications
book

Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications

by Andrew Kelleher, Adam Kelleher
May 2019
Beginner to intermediate
288 pages
9h 1m
English
Addison-Wesley Professional
Content preview from Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications

Code Snippets

Many titles include programming code or configuration examples. To optimize the presentation of these elements, view the eBook in single-column, landscape mode and adjust the font size to the smallest setting. In addition to presenting code and configurations in the reflowable text format, we have included images of the code that mimic the presentation found in the print book; therefore, where the reflowable format may compromise the presentation of the code listing, you will see a “Click here to view code image” link. Click the link to view the print-fidelity code image. To return to the previous page viewed, click the Back button on your device or app.

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

Productive and Efficient Data Science with Python: With Modularizing, Memory profiles, and Parallel/GPU Processing

Tirthajyoti Sarkar
What Employees Want Most in Uncertain Times

What Employees Want Most in Uncertain Times

Kristine W. Powers, Jessica B.B. Diaz

Publisher Resources

ISBN: 9780134116556