Abstract: Open source technology has historically driven technological progress, from operating systems, to web development, and now, AI and machine learning. We're at a point in history where the canonical "open source ML stack" has yet to be discovered. In this talk, you'll hear about HPE's approach to building an end-to-end ML stack, including Determined AI for model training and Pachyderm for data preparation. You'll also see a live demo of how to use Determined AI for a transfer learning use case in the biomedical image domain. We'll also touch on some key collaborations, including our partnerships with the AI Infrastructure Alliance, NVIDIA, and Aleph Alpha.
Bio: Isha Ghodgaonkar is a Machine Learning Developer Advocate at Hewlett Packard Enterprise (HPE), working within the HPC, AI & Labs business unit, which includes open source platforms Determined AI and Pachyderm. Prior to HPE, Isha worked at MITRE as an Autonomous Systems Engineer, a Data Science Intern at Genentech, and a technical intern at The Aerospace Corporation. Isha is a graduate of Purdue University.