San Francisco, CA • November 8, 2019Register Now
MLconf is a single-day, single-track machine learning conference event designed to gather the community to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets.
Professionals across many industries and professions attend the MLconf machine learning conference to stay current on today’s application of machine learning techniques and practices. Individuals with backgrounds in Data Science, Engineering, Software, Computer Vision, Research, Machine Learning, Technical Leadership, Co-Founders of Startups, Professors and Students attend to stay current with what techniques their peers are using to solve today’s problems that exist in industry.
MLconf is a single-day, single-track machine learning conference event designed to gather the community to discuss the recent research and application of Algorithms, Tools, and Platforms to solve the hard problems that exist within organizing and analyzing massive and noisy data sets. Our next conference will host talks on today’s use of ML algorithms and techniques from companies such as Google Brain, AWS, Facebook, Slack & more. Additional tracks will cover intriguing topics on applications of machine learning within medical applications and within data science for social good.
The following speakers will be presenting at our upcoming event. Check back regularly, as we're always adding new speakers!
Anitha Kannan is a founding member at Curai where she works on AI-driven disruptive solutions to healthcare. Prior to Curai, she has held senior research positions at Facebook AI research and at Microsoft research. Her research impacted products at Microsoft for which she has received many technical awards, including multiple Gold Star awards. She holds […]
Bradley Voytek is an Associate Professor in Cognitive Science, Data Science, and the Neurosciences Graduate Program at UC San Diego. He is an Alfred P. Sloan Neuroscience Research Fellow and National Academies Kavli Fellow, and a founding faculty member of the UC San Diego Data Science major and the Halıcıoğlu Data Science Institute. He was […]
Franziska Bell is a Senior Data Science Manager on the Platform Team at Uber, where she founded the Anomaly Detection, Forecasting Platform and Natural Language Platform teams. In addition, she leads Applied Machine Learning, Behavioral Science, and Customer Support Data Science. Before Uber, Franziska was a Postdoc at Caltech where she developed a novel, highly […]
Josh Wills is a Software Engineer at Slack. Previously, Josh was the Head of Data Engineering at Slack. Prior to Slack, he built and led data science teams at Cloudera and Google. He is the founder of the Apache Crunch project, co-authored an O’Reilly book on advanced analytics with Apache Spark, and wrote a popular […]
Ted Willke leads a team that researches large-scale machine learning and data mining techniques in Intel Labs. His research interests include parallel and distributed systems, image processing, machine learning, graph analytics, and cognitive neuroscience. Ted is also a co-principal investigator in a multi-year grand challenge project on real-time brain decoding with the Princeton Neuroscience Institute. […]
I love MLconf. Highest signal to noise ratio of any conference I attend.Josh Wills, Head of Data Engineering, Slack