Simon Learn Amazon SageMaker

A guide to building, training, and deploying machine learning models for developers and data scientists
2. Auflage 2021
ISBN: 978-1-80181-415-7
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 554 Seiten

No detailed description available for "Learn Amazon SageMaker".

Autoren/Hrsg.

Simon, Julien

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Warehouse
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Informatik

Inhaltsverzeichnis

Table of Contents - Introducing Amazon SageMaker
- Handling Data Preparation Techniques
- AutoML with Amazon SageMaker Autopilot
- Training Machine Learning Models
- Training CV Models
- Training Natural Language Processing Models
- Extending Machine Learning Services Using Built-In Frameworks
- Using Your Algorithms and Code
- Scaling Your Training Jobs
- Advanced Training Techniques
- Deploying Machine Learning Models
- Automating Machine Learning Workflows
- Optimizing Prediction Cost and Performance

Über Autor(innen)

Simon Julien:

Julien Simon is a Principal Developer Advocate for AI & Machine Learning at Amazon Web Services. He focuses on helping developers and enterprises bring their ideas to life. He frequently speaks at conferences, blogs on the AWS Blog and on Medium, and he also runs an AI/ML podcast. Prior to joining AWS, Julien served for 10 years as CTO/VP Engineering in top-tier web startups where he led large Software and Ops teams in charge of thousands of servers worldwide. In the process, he fought his way through a wide range of technical, business and procurement issues, which helped him gain a deep understanding of physical infrastructure, its limitations and how cloud computing can help.