Broadcast Date: February 20, 2019
Amazon SageMaker is an end-to-end platform to build, train, and deploy machine learning models (ML) at scale. In this tech talk, you'll learn how you can build and train Reinforcement Learning (RL) models with Amazon SageMaker RL. The applications with RL can span across many areas including robotics, autonomous vehicles, energy management, financial portfolio management, operations research, natural language processing, and many more. We will dive deep into reinforcement learning and how it is integrated with Amazon SageMaker. We will model a simulation environment to represent real-world problems. Further, we will train RL models in this environment and tune them to obtain the required results. By the end, you will be able to use SageMaker RL for your own business problems to build intelligent applications.
- Learn about Amazon SageMaker RL to use reinforcement learning and build intelligent applications for your businesses
- Learn how to build and train RL models using a simulation environment to represent real-world problems
- Learn how to get started with Amazon SageMaker RL today
Who Should Attend?
Machine Learning Practitioners, Data Scientists, Developers, Data Architects, Technical Decision Makers
- Urvashi Chowdhary, Sr. Product Manager, AWS; Vineet Khare, Manager, Applied Science, AWS
To learn more about the services featured in this talk, please visit:
Service How To
December 19th, 2018 | 1:00 PM PT
Developing Deep Learning Models for Computer Vision with
Amazon EC2 P3 Instances.