Session 9: AI Foundations Course - Ensembling & Automated Machine Learning (AutoML)
This video was recorded on July 23, 2020
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OUTLINE:
0:00 - AI Foundations
3:02 - What is Ensembling
8:44 - Basic Ensembling Techniques
13:04 - Advance Ensembling Techniques
22:26 - automated Machine Learning
30:57 - AutoML Frameworks & Demo
44:29 - Summary & What's Next?
46:02 - Resources
Description:
There are times when a single machine learning model just won't do the trick and you need to combine several models to produce a more optimal predictive model using ensemble methods.
There are other times when you may need an end-to-end ML solution to help speed up the time to an ML solution, scale the amount of use cases and that is where Automated machine learning (AutoML) comes into focus.
In this session, you will learn the basics of these techniques.
Speaker:
Parul Pandey (H2O.ai - Data Science Evangelist)