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For the last couple of months, I have been doing some research on ML in production.
I have shared a few resources here, from repositories to blogs.
However, I have found some of the best content in books.
If anyone is interested, here is a list of books I am studying
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I have shared a few resources here, from repositories to blogs.
However, I have found some of the best content in books.
If anyone is interested, here is a list of books I am studying
Designing Data-Intensive Applications
by Martin Kleppmann
by Martin Kleppmann
Building Machine Learning Pipelines
By Hannes Hapke and Catherine Nelson
By Hannes Hapke and Catherine Nelson
Building Machine Learning Powered Applications
by Emmanuel Ameisen
by Emmanuel Ameisen
Introducing MLOps: How to Scale Machine Learning
in the Enterprise
by Clément Stenac, Léo Dreyfus-Schmidt, Kenji Lefèvre, Nicolas Omont, and Mark Treveil
(it& #39;s in early release)
in the Enterprise
by Clément Stenac, Léo Dreyfus-Schmidt, Kenji Lefèvre, Nicolas Omont, and Mark Treveil
(it& #39;s in early release)
High Performance Python
by Micha Gorelick and Ian Ozsvald
by Micha Gorelick and Ian Ozsvald
Machine Learning Systems: Designs that scale
by Jeff Smith
by Jeff Smith
Python for DevOps
by Noah Gift, Kennedy Behrman, Alfredo Deza, and Grig Gheorghiu
by Noah Gift, Kennedy Behrman, Alfredo Deza, and Grig Gheorghiu
Building Machine Learning and Deep Learning Models on Google Cloud Platform
by Ekaba Bisong
by Ekaba Bisong
Data Management at Scale
by Piethein Strengholt
by Piethein Strengholt
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
by Valliappa Lakshmanan, Sara Robinson, and Michael Munn
(it& #39;s in early release)
by Valliappa Lakshmanan, Sara Robinson, and Michael Munn
(it& #39;s in early release)
Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD
by Jeremy Howard and Sylvain Gugger
by Jeremy Howard and Sylvain Gugger
Kubeflow Operations Guide: Managing On-Premises, Cloud, and Hybrid Deployment
by Josh Patterson, Michael Katzenellenbogen,
and Austin Harris
(it& #39;s in early release)
by Josh Patterson, Michael Katzenellenbogen,
and Austin Harris
(it& #39;s in early release)
Agile Machine Learning
by Eric Carter and Matthew Hurst
by Eric Carter and Matthew Hurst
Happy reading!
Feel free to add any books you found useful on the topic of machine learning in production.
Feel free to add any books you found useful on the topic of machine learning in production.
