Backend technologies for machine learning in production (Ep. 141)

Published: March 2, 2021, 6:47 a.m.

This is one of the most dynamic and fascinating topics: API technologies for machine learning.\nIt's always fun to build ML models. But how about serving them in the real world? In this episode I speak about three must-know technologies to place your model behind an API.\n\xa0\nOur Sponsors\nThis episode is supported by Chapman\u2019s Schmid College of Science and Technology, where master\u2019s and PhD students join in cutting-edge research as they prepare to take the next big leap in their professional journey.To learn more about the innovative tools and collaborative approach that distinguish the Chapman program in Computational and Data Sciences, visit chapman.edu/datascience\n\xa0\nIf building software is your passion, you\u2019ll love ThoughtWorks Technology Podcast. It\u2019s a podcast for techies by techies. Their team of experienced technologists take a deep dive into a tech topic that\u2019s piqued their interest \u2014 it could be how machine learning is being used in astrophysics or maybe how to succeed at continuous delivery.