Machine Learning for Time Series Forecasting with Python

About the Technical Editor

James York-Winegar holds a bachelor's degree in mathematics and physics and a master's degree in information and data science. He has worked in academia, healthcare, and technology consulting. James currently works with companies to enable machine learning workloads by enabling their data infrastructure, security, and metadata management. He also teaches machine learning courses at the University of California, Berkeley, focused on scaling up machine learning technology for big data.

Prior to leaving academia, James originally was focused on the cross section between experimental and theoretical physics and materials science. His research was focused on photo-structural transformations of non-oxide glasses or chalcogenide glasses. This introduced James to processing extremely large amounts of data and high-performance computing, where his work still leads him today.

James has had exposure to many industries through his consulting experience, including education, entertainment, commodities, finance, telecommunications, consumer packaged goods, startups, biotech, and technology. With this experience, he helps companies understand what is possible with their data and how to enable new capabilities or business opportunities. You can find his LinkedIn profile at linkedin.com/in/winegarj/.