Navdeep Gill | Software Engineering & Data Science | Machine Learning Interpretability | Open Source

Chai Time Data Science Playlist: https://www.youtube.com/playlist?list=PLLvvXm0q8zUbiNdoIazGzlENMXvZ9bd3x In this episode, Sanyam Bhutani interviews Navdeep Gill: Senior Data Scientist and Software Engineer at H2O.ai. In this interview, they talk all about the intersection of these two fields: data science and software engineering, best practices for both data science and software engineering and how much of software engineering skills should our data scientists really know, is the question that they also discuss in this interview. They talk all about Navdeep's journey into machine learning, machine learning interpretability and his journey at H2O.ai. They also talk a lot about machine learning interpretability, Navdeep's thoughts on it, as well as MLI inside of H2O's products. Links: An Intro to MLI Book: https://www.h2o.ai/wp-content/uploads/2019/08/An-Introduction-to-Machine-Learning-Interpretability-Second-Edition.pdf Driverless AI: https://www.h2o.ai/products/h2o-driverless-ai/ H2O-3: http://docs.h2o.ai/h2o/latest-stable/h2o-docs/welcome.html Follow: Navdeep Gill: https://twitter.com/Navdeep_Gill_ Sanyam Bhutani: https://twitter.com/bhutanisanyam1 Blog: sanyambhutani.com About: http://chaitimedatascience.com/ A show for Interviews with Practitioners, Kagglers & Researchers and all things Data Science hosted by Sanyam Bhutani. You can expect weekly episodes every available as Video, Podcast, and blogposts. Flow by LiQWYD https://soundcloud.com/liqwyd

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