Broadcast Date: March 22, 2019
Level: 300
Using machine learning (ML), developers can process a large set of various data, understand complex relationships within them, and provide accurate results that they couldn’t get with traditional methods. Machine learning is particularly useful when it comes to creating forecasts or individualized recommendation systems. In this tech talk, you will learn how to build accurate custom forecasting models and recommendation systems using Amazon Forecast and Amazon Personalize. No prior machine learning experience is required to start using these services.
Learning Objectives
- Get introduced to Amazon Forecast and Amazon Personalize
- Learn how to build accurate forecasting models using your own data without prior ML experience
- Learn how to create individualized recommendation systems for your customers without prior ML experience
Who Should Attend?
Application Developers, Business Decision Makers, Data Scientists, IT Professionals
Speakers
- Vaibhav Sethi, Sr. Product Manager, AWS
- Varsha Balasubramaniam, AI Software Engineer, AWS
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/forecast/
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