In this episode of DataChats, Nick talks with Max Kuhn, the creator of the caret package for R. Max is a frequent speaker at many of the main data science conferences and is well known as the creator of the caret package for R, an essential tool in every R user’s machine learning toolbox. In this 30 min conversation, Max talks about how he originally wanted to become a journalist, why he defines himself as a statistician rather than a data scientist, his thoughts on deep learning, strategies for breaking into the field, and much more.
Justin Bois is a lecturer in the Division of Biology and Biological Engineering at the California Institute of Technology. He teaches nine different classes there, nearly all of which heavily feature Python. He is dedicated to empowering students in the biological sciences with quantitative tools, particularly data analysis skills. Beyond biologists, he is thrilled to develop courses for DataCamp. In this DataChat, Hugo and Justin discuss different aspects of data science, including data science education, and Justin shares his advice to those getting started in the field.
Chester builds (and helps instructors build) R and SQL courses for DataCamp. Chester has experience working as an actuary, as a professor, and as a statistical/data scientist consultant in academia. In addition, he has worked as a consultant for actuarial firms and the Portland Trailblazers NBA team. He is co-author of the fivethirtyeight R package and author of the thesisdown R package. He is also a co-author of ModernDive, an open source textbook for introductory statistics and data science students using R.
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