My Account Log in

1 option

MLOps engineering at scale / Carl Osipov.

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Sound recording
Author/Creator:
Osipov, Carl, author.
Language:
English
Subjects (All):
Cloud computing.
Machine learning.
Physical Description:
1 online resource (1 sound file (7 hr., 8 min.))
Edition:
[First edition].
Place of Publication:
[Shelter Island, New York] : Manning Publications, [2022]
Summary:
MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you’ve never used a cloud platform before. You’ll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production.
Notes:
OCLC-licensed vendor bibliographic record.
OCLC:
1443487301
Publisher Number:
9781617297762AU

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account