The importance of testing your tools, using multiple tools, and seeking consistency across various interpretability techniques.
Navdeep Gill is a Software Engineer & Data Scientist at H2O.ai where he focuses on model interpretability, GPU accelerated machine learning, and automated machine learning. He graduated from California State University, East Bay with a M.S. degree in Computational Statistics, B.S. in Statistics, and a B.A. in Psychology (minor in Mathematics). During his education, he gained interests in machine learning, time series analysis, statistical computing, data mining, and data visualization. Connect with Navdeep on Twitter @Navdeep_Gill_.