#MLSummit

Machine Learning Innovation Summit

Separate the Signal from the Noise

San Francisco, 2017

Why
Attend

Join us at the Machine Learning Innovation Summit as we bring together leaders in the field to discuss the application of machine learning, deep learning, and AI in solving real business problems.
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Our
Speakers

Our speaker lineup includes leading data scientists, software engineers, and machine learning researchers discussing their work applying machine learning to real-world problems.

  • Chester Chen

    Head of Data Science

    GoPro
    GoPro
  • Zornitsa Kozareva

    Manager, Machine Learning

    Amazon
    Amazon
  • Waibhav Tembe

    Director, Scientific Computing

    L'Oreal
    L'Oreal
  • Huiming Qu

    Head of Data Science

    The Home Depot
    The Home Depot
  • Brian Boates

    Head of Data Science

    Square
    Square
  • Shakhina Pulatova

    Senior Product Manager

    LinkedIn
    LinkedIn
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The
Schedule

As organizations evolve and embrace technological advances, data becomes a key currency on which they can hope to gain an advantage over competitors and push business success. Machine learning offers a new solution - the ability for algorithms to learn without the need to be programmed.


The
Venue

Marriott Union Square

Here at San Francisco Marriott Union Square, we set the gold standard for comfort, convenience and brilliant travel. Located just steps away from Union Square, you'll have unbeatable access to premier dining, shopping and entertainment. Our hotel is right by one of the city's iconic cable car lines, making it easy to hop aboard and explore numerous attractions including Chinatown, Fisherman's Wharf and Pier 39.

Innovation Enterprise has organised a discounted room block at the hotel just for attendees of the summit! To take advantage of our special rate of $359 per night, please click here.

Or call the toll-free number: 1-866- 912-0973 and ask for the Innovation Enterprise group rate.

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Executive Summary

Machine Learning Innovation Summit

June 5 & 6, San Francisco, 2017

Separate the Signal from the Noise
1484826304919_mlsf2017execsummary

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