You are Invited!
Acquire insights from PredictHQ and Favor on how you can leverage third-party knowledge units to develop machine studying fashions. Hear from AWS Information Change specialists on how one can enhance confidence in forecasting and decision-making.
Date: April twenty eighth, 2022
Time: 11:00 AM PT (2:00 PM ET)
Size: 60 minutes
Register Now
You’ll study:
- How third-party knowledge can enrich your first-party knowledge
- How AWS companies equivalent to Amazon SageMaker and Amazon Quicksight could make constructing machine studying fashions simpler and extra correct
- Actual-world examples of third-party knowledge benefiting machine studying fashions
- Ways in which PredictHQ’s demand intelligence will help enhance forecasting accuracy
- How supply firm, Favor, improved its imply absolute proportion error (MAPE) by incorporating options primarily based on PredictHQ knowledge with Amazon SageMaker
- Tips on how to discover, uncover, and use third-party knowledge and APIs from AWS Information Change
Who ought to attend:
Chief Information Officers, knowledge scientists, enterprise intelligence, and analytics professionals.
*The views and opinions of PredictHQ and Favor and their presenters are their very own and don’t essentially replicate the positions of AWS
The publish Tips on how to create more practical machine studying methods utilizing third-party knowledge appeared first on Datafloq.
