Have a personal or library account? Click to login
Accelerate Deep Learning Workloads with Amazon SageMaker Cover

Accelerate Deep Learning Workloads with Amazon SageMaker

Train, deploy, and scale deep learning models effectively using Amazon SageMaker

Paid access
|May 2024
Product purchase options

Authors

Dabravolski Vadim :

Vadim Dabravolski is a Solutions Architect and Machine Learning Engineer. He has over 15 years of career in software engineering, specifically data engineering and machine learning. During his tenure in AWS, Vadim helped many organizations to migrate their existing ML workloads or engineer new workloads for the Amazon SageMaker platform. Vadim was involved in the development of Amazon SageMaker capabilities and adoption of them in practical scenarios. Currently, Vadim works as an ML engineer, focusing on training and deploying large NLP models. The areas of interest include engineering distributed model training and evaluation, complex model deployments use cases, and optimizing inference characteristics of DL models.

PDF ISBN: 978-1-80181-311-2
Publisher: Packt Publishing Limited
Copyright owner: © 2022 Packt Publishing Limited
Publication date: 2024
Language: English
Pages: 278