Solving an Age Old Challenge – Automating Feature Engineering with Gen AI and a Declarative Feature Framework


Join us for a practical workshop focused on efficient feature engineering for machine learning. Throughout the session, we will explore various feature engineering concepts and demonstrate their implementation using the FeatureByte open source library.

Our workshop aims to provide participants with a straightforward approach to moving from feature ideas to practical deployment. By delving into a range of feature engineering strategies, attendees will gain a solid understanding of how to effectively utilize the FeatureByte library including automated feature ideation. Through hands-on activities, we will showcase how this approach can streamline the feature engineering process and contribute to better machine learning model outcomes.


Sergey is a data scientist with a background in physics and neurobiology. FeatureByte is Sergey's second startup. He was one of the first employees at DataRobot where he created and led a professional services group and helped the company grow into a unicorn. Sergey is widely known for being a Kaggle Grandmaster and holding the #1 rank on Kaggle in the past. Multiple times he was mentioned as one of the top data scientists by various publications. Sergey’s passion is in machine learning, predictive modeling and inventive feature engineering.

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