Sharing Lessons Learned in Machine Learning Best Practices

New York City, NY • March 29, 2019

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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.

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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.

Set in the heart of New York City

230 5th
230 5th Avenue, New York City, NY, 10001
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Located at the corner of 27th Street and 5th Avenue in bustling Manhattan, New York City, New York. Learn more about 230 Fifth here.

Tickets start at $300 – Don't miss out on this event!

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Meet Our Speakers

The following speakers will be presenting at our upcoming event. Check back regularly, as we're always adding new speakers!

Emily Pitler

Google AI
Staff Research Scientist

Anna Choromanska

NYU Tandon School of Engineering
Department of Electrical and Computer Engineering

Neel Sundaresan

Microsoft Cloud and AI Division
Partner Director

Esperanza Lopéz Aguilera

Kx
Machine Learning Engineer

Soumith Chintala

Facebook AI Research
Researcher

Amir Sadoughi

Amazon Web Services
Senior Software Development Engineer

Renaud Bourassa

Slack
Staff Software Engineer

Rishabh Mehrotra

Spotify Research
Research Scientist

Alexandra Johnson

SigOpt
Software Engineer

Roy Lowrance

7 Chord Inc.
Chief Scientist and Co-Founder

Madalina Fiterau

University of Massachusetts Amherst
Assistant Professor

Sandhya Prabhakaran

Memorial Sloan Kettering Cancer Centre
Research Fellow

Liliana Cruz-Lopez

Columbia University

Kerry Weinberg

Amgen
Senior Data Scientist

Nitin Sharma

PayPal Risk Sciences
Research Scientist

Janani Kalyanam

Intuit Inc.
Senior Data Scientist

LeAnna Kent

Elder Research
Data Scientist

Niels Bantilan

Talkspace
Machine Learning Engineer

Dr. Deniz Appelbaum

Montclair State University
Assistant Professor

Shayak Banerjee

Sr. Machine Learning Engineer
Meetup

Reshama Shaikh

MLconf
Program Committee Member

Tickets start at $300 – Don't miss out on this event!

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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

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