UPDATED: Video Added from the Conference! Introducing Zhi Yang > @zhiiiyang < presenting “Hierarchical Topic Modeling in Cancer Research”. Topic models have been widely applied to extract topics from various range of documents or collections of texts, i.e., online customers reviews, medical records, scientific journals, legal documents, books and etc. Its application facilitates the process... Continue reading →

UPDATED: Video Added from the Conference! Introducing Sachi Parikh > @parikhsachi < presenting “My Journey Learning ML and AI through Self Study as a High School Student”. Sachi is a high school student in the Bay Area who is interested in AI and Machine Learning and loves to code, read and learn. In the talk... Continue reading →

UPDATED: Video Added from the Conference! Introducing Karl Weinmeister > @kweinmeister < presenting “Build, train, and serve your ML models on Kubernetes with Kubeflow”. Karl is a Developer Advocacy Manager from Google’s Developer Relations Artificial Intelligence and Machine Learning team. Karl has worked extensively in cloud and mobile, and was a contributor to one of... Continue reading →

UPDATED: Video Added from the Conference! That isn’t all though, Aeva gave a lightning talk too, included below! Introducing Aeva van der Veen > @aevavoom < presenting “Gaming Rigs and ML Pipelines: how to get started with the tools you already have”. Aeva is an outspoken open source advocate with over a decade experience contributing... Continue reading →

Introducing Jules S. Damji > @2twitme < presenting “MLflow: Infrastructure for a Complete Machine Learning Life Cycle”. Jules S. Damji is an Apache Spark Community and Developer Advocate at Databricks. He is a hands-on developer with over 20 years of experience and has worked at leading companies, such as Sun Microsystems, Netscape, @Home, LoudCloud/Opsware, VeriSign,... Continue reading →