Skip to main content

Machine learning in production

  • Chapter
  • First Online:
Practical Machine Learning in JavaScript
  • 2114 Accesses

Abstract

Now that you hopefully feel more comfortable experimenting with machine learning and building applications using different models and inputs, let’s talk about the different aspects of putting machine learning models and systems into production.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Charlie Gerard

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gerard, C. (2021). Machine learning in production. In: Practical Machine Learning in JavaScript. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-6418-8_6

Download citation

Publish with us

Policies and ethics