The Machine Learning Conference
The ML Conference gathers people to discuss and research and application of algorithms, tools, and platforms related to analyzing massive data sets.
Sharing Lessons Learned in Machine Learning Best Practices
San Francisco, CA • November 8, 2019
Register NowMLconf 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.
We’re currently calling for speakers. Details here. Submit your abstract here.
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Who Should Attend?
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.
What You’ll Learn
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 AI, 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.
Tickets start at $150 – Don't miss out on this event!
Meet Our Speakers
The following speakers will be presenting at our upcoming event. Check back regularly, as we're always adding new speakers!
Anitha Kannan
Curai
Founding Member
Anitha Kannan
Curai
Founding Member
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 […]
Franziska Bell
Uber
Senior Data Science Manager on the Platform Team
Franziska Bell
Uber
Senior Data Science Manager on the Platform Team
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
Slack
Director of Data Engineering
Josh Wills
Slack
Director of Data Engineering
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
Intel
Sr. Principal Engineer, Intel
Ted Willke
Intel
Sr. Principal Engineer, Intel
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. […]
Tickets start at $150 – Don't miss out on this event!
I love MLconf. Highest signal to noise ratio of any conference I attend.
Josh Wills, Head of Data Engineering, Slack
View Past MLConf Talks
Using Network Analysis to Detect Kickback Schemes Among Medical Providers
LeAnna Kent at MLconf 2019 New York City
Machine Learning to Detect Illegal Online Sales of Prescription Opioids
Janani Kalyanam at MLconf 2019 New York City
Deep Learning Applications to Online Payment Fraud Detection
Nitin Sharma at MLconf 2019 New York City
Building Machine Learning Models with Strict Privacy Boundaries
Renaud Bourassa at MLconf 2019 New York City
