

#21016
Mentioned in 2 episodes
Effective Data Science Infrastructure
Book • 2022
This book provides a systematic approach to designing and deploying modern infrastructure for machine learning and data science applications.
It focuses on making data scientists more productive by leveraging existing cloud infrastructure, open-source software, and Python.
The book draws from experiences at Netflix and other data-driven companies, offering scalable techniques for data storage, computation, and model deployment.
It focuses on making data scientists more productive by leveraging existing cloud infrastructure, open-source software, and Python.
The book draws from experiences at Netflix and other data-driven companies, offering scalable techniques for data storage, computation, and model deployment.
Mentioned by
Mentioned in 2 episodes
Mentioned by ![undefined]()

as a new book about how to make data scientists more productive.

Dan Whitenack

From notebooks to Netflix scale with Metaflow
Mentioned by 

as an upcoming book written by ![undefined]()

, covering the details of building effective data science infrastructure.


Sam Charrington

Ville Tuulos

Do You Dare Run Your ML Experiments in Production? with Ville Tuulos - #523



