Feature engineering is widely practiced, but understanding the hows and whys behind this process often relies on folklore and guesswork. Alice Zheng offers a systematic view of feature engineering and discusses the underpinnings of a few popular methods.
Alice Zheng leads the machine learning optimization team on Amazon’s advertising platform. She specializes in research and development of machine learning methods, tools, and applications. Outside of work, she is writing a book, Mastering Feature Engineering. Previously, Alice worked at GraphLab/Dato/Turi, where she led the machine learning toolkits team and spearheaded user outreach. Prior to joining GraphLab, she was a researcher in the Machine Learning group at Microsoft Research, Redmond. Alice holds PhD and BA degrees in computer science and a BA in mathematics, all from UC Berkeley.
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