Tobias Macey
Host of The Machine Learning Podcast
Tobias Macey is a dedicated engineer with experience spanning many years and even more domains. He currently manages and leads the Data & Infrastructure Platform Engineering team at MIT Open Learning where he designs and builds cloud infrastructure to power online access to education for the global MIT community. He also owns and operates Boundless Notions, LLC where he offers design, review, and implementation advice on data infrastructure and cloud automation.
Besides the Machine Learning Podcast, Tobias host the Data Engineering Podcast, which tackles a new approach to data management every week. He also hosts Podcast.__init__ where he explores the universe of ways that the Python language is being used. By applying his experience in building and scaling data infrastructure and processing workflows, he helps the audience explore and understand the challenges inherent to machine learning and data management.
Tobias Macey has hosted 19 Episodes.
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Build Better Machine Learning Models With Confidence By Adding Validation With Deepchecks
July 5th, 2022 | 48 mins 40 secs
An interview with Shir Chorev and Philip Tannor about model validation and testing with the open source deepchecks library and the challenges of testing machine learning projects
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Build A Full Stack ML Powered App In An Afternoon With Baseten
June 28th, 2022 | 46 mins 26 secs
An interview with Tuhin Srivastava about how the Baseten platform allows data scientists and ML engineers to build a full stack machine learning powered application by themselves in an afternoon
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Introducing The Show
June 3rd, 2022 | 1 min 11 secs
Introducing the new podcast about how to go from idea to production with machine learning