Speakers:

Dean Abbott

AutoML for the Entire Modeling Project​

date:

Wednesday, October 5, 2022

Time:

4:30 pm

Room:

Saphir 2

Summary:

Automated Machine Learning – so-called AutoML —  has received considerable attention in recent years and is poised to take enterprise analytics to the next level. Most often, however, automation has been limited to the model-building algorithms themselves, such as hyper-parameter tuning and model ensembles. It appears that Insufficient progress has been made with the most time-consuming parts of the machine learning process: data preparation, model interpretation and model deployment. This talk will describe why attention in these steps has been slow in coming and practical recommendations for automating them.

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