MLOps is the application of the best practises from DevOps - that is the tools & techniques that are required to take software & put it into production - and applying these same principles to the field of Data Science to formalise the process of training a machine learning model all the way through to putting the model into production.
In this edition of the Humans of Ai, we interview Damian Brady - Senior Cloud DevOps Advocate at Microsoft & discuss how he got started in the field of Computer Science, then deep dive into Damian's field of expertise - MLops. Finally, we finish up the episode with what it is like to talk at a super conference - Microsoft Ignite.
Danny Ma on Data Science Mentorship.
Emre Kiciman & Amit Sharma - Causal Inference & Microsoft's DoWhy Library
Seth Juarez - What it takes: Ai Advocacy at Microsoft
Uri Barash on Cortana & Azure Data Explorer
Sunil Mallya, on AWS Deepracer & Sagemaker RL
Dr Stewart Worrall, on Engineering Autonomous Vehicle Systems
Dr Eugene Dubossarsky, Ai Antihype - the Perils & Remedies of a Career in Modern Data Science
Steven Brown, on Deepmind’s PySC2 Starcraft Interface, Blizzcon 2017 & Alphastar.
Prof Maurice Pagnucco, A brief history of Machine Learning - Expert Systems, Bayesian Methods, Causal Inference and the Millennium Prize.
Stephen Hogg, Transformers, more than meets the eye
Prof Claude Sammut, on Symbolic Ai & the International Robocup
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