Introducing lolpop: An Open Source Framework for Machine Learning Workflows

Discover a groundbreaking solution to machine learning workflow challenges in this 16-minute video presentation. Explore lolpop, an innovative open-source framework that bridges the gap between data science and machine learning engineering teams, fostering collaboration and boosting productivity. Delve into the motivations behind lolpop's creation and witness how it revolutionizes machine learning approaches across diverse scenarios. Learn how this framework reduces errors and drives efficiency, gaining valuable insights applicable to data engineers, data scientists, and AI enthusiasts. Presented by Jordan Volz, Founder of lolpop and former Head of Data at Voltron Data, this Data Council talk offers a comprehensive look at an exciting new tool in the machine learning landscape.

Introducing lolpop: an Open Source Framework for Machine Learning Workflows