Bayesian Machine Learning with Ravin Kumar (Ep. 191)

This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions.He has previously worked at Sweetgreen, designing systems that would benefit team members and communities through sustainable and healthy food, and SpaceX, creating tools that would ultimately launch rocket ships. All opinions in this episode are his own and none of the companies he has worked for are represented. This episode is brought to you by RailzAIThe Railz API connects to major accounting platforms to provide you with quick access to normalized and analyzed financial data. Get free access to their API and more. Just tell them you came through Data Science at Home podcast. and by Amethix TechnologiesAmethix use advanced Artificial Intelligence and Machine Learning to build data platforms and predictive engines in domain like finance, healthcare, pharmaceuticals, logistics, energy. Amethix provide solutions to collect and secure data with higher transparency and disintermediation, and build the statistical models that will support your business.  ReferencesBayesian Modeling and Computation in Python (Chapman & Hall/CRC Texts in Statistical Science) amazon.comBayesian Modeling and Computation in Pythonhttps://twitter.com/canyon289   This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceathome.substack.com