Sharing Lessons Learned in Machine Learning Best Practices

San Francisco, CA • November 8, 2019

Register 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.

  • As seen in:

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 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.

Set in the heart of Downtown San Francisco

Hotel Nikko
222 Mason Street, San Francisco, CA 94102
Get Directions

Tickets start at $150 – Don't miss out on this event!

Register Now

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

Bradley Voytek

UC San Diego
Associate Professor

Anoop Deoras

Netflix
Researcher

Sneha Rajana

Amazon
Software Development Engineer

Noam Finkelstein

Johns Hopkins University
PhD Student

Justin Armstrong

Compology
Senior Backend Engineer - Applied ML

June Andrews

Stitchfix
Principal Data Scientist

Franziska Bell

Uber
Senior Data Science Manager on the Platform Team

Meghana Ravikumar

SigOpt
Machine Learning Engineer

Jekaterina Novikova

Winterlight Labs
Director of ML

Jamila Smith-Loud

Google
User Researcher

Josh Wills

Slack
Director of Data Engineering

Ted Willke

Intel
Sr. Principal Engineer, Intel

Vinay Prabhu

UnifyID Inc.
Chief Scientist

Tickets start at $150 – Don't miss out on this event!

Register Now

Josh Wills, Head of Data Engineering, Slack

I love MLconf. Highest signal to noise ratio of any conference I attend.

Josh Wills, Head of Data Engineering, Slack

Don't miss a thing!

Sign up below, and we’ll send you updates about speakers and sessions for this event, plus you’ll be the first to know about our upcoming events!

MLconf is underwritten by our generous sponsors