Data Meetups

Machine Learning for SQL Query at Facebook, Christopher Berner, SF Analytics Meetup

Facebook’s Christopher Berner on Adding Machine Learning Capabilities to PrestoDB with PrestoML

Last week’s SF Big Analytics Meetup featured two talks by Christopher Berner of Facebook as well as Mohitdeep Singh from Rdio talking about non-parametric bayesian approaches which allow learning of infinite clusters. Berner explained how at Facebook, his machine learning capability plugin for distributed SQL query engine Presto started out as a Hackathon project. PrestoML joins the power of machine ...

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SF Machine Learning to Look at Google Research Tool in Production

apps off the screen

The furious rise of Japanese news app SmartNews, which has become the country’s most downloaded news app, is starting to see it’s popularity quickly cross the Pacific into the smartphones of Americans. SmartNews delivers an extremely clean and responsive user experience with curated news items from around the web delivered at a time of the day chosen by the reader. Big ...

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Outlier and Anomaly Detection In Server Instances With Machine Learning At Netflix: Cody Rioux

Outlier and Anomaly Detection In Server Instances With Machine Learning At Netflix: Cody Rioux

The subject of February’s San Francisco Metrics Meetup was anomaly detection where Cody Rioux from the real-time analytics team at Netflix gave this talk on artificial intelligence and machine learning, specifically how Netflix use a custom built in house system called Kepler to run against telemetry data and spot outliers. In the context of this talk Netflix define outlier as ...

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Machine Learning at Spotify, Madison Big Data Meetup, Andy Sloane

Machine Learning at Spotify, Big Data Madison, Andy Sloane

Andy Sloane from Spotify spoke at the Madison Big Data Meetup January 27th about how Machine Learning helps the music service make recommendations to listeners for related artists and radio. Spotify’s recommendable catalogue comprises more than 4 million tracks with each ‘play event’ registered once a song has finished playing.  In this talk Sloane explains the discover page which is rebuilt daily ...

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Machine Learning For Journalism at The New York Times

Machine Learning For Journalism at The New York Times

Daeil Kim is a Data Scientist at the New York Times, a role which has crystallised his research work into the niche between Machine Learning and Journalism. Kim spoke at the New York Data Science Meetup last week about how to make journalists work easier by using Machine Learning, a Bayesian perspective on big data and a discreet section on ...

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What’s Coming For Spark 2015 – Bay Area Spark User Group

What’s Coming For Spark 2015 – Bay Area Spark User Group

San Francisco’s Spark Meetup group is massive, yet whilst going along to some of these events can be a little intimidating, especially for the more socially awkward attendees, the group really does preach to people of all levels. The first gathering of 2015 kicked off with a review of Spark by Co-organiser Patrick Wendell to get things going, briefly running over ...

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How Machine Learning Will Change Our World, Jeremy Howard, Melbourne Data Science

How Machine Learning Will Change Our World. Jeremy Howard, Melbourne Data Science

This post aims to cram in a synopsis of Jeremy Howard’s talk at the inaugural Data Science Melbourne MeetUp at Inspire9 in Richmond on 12th May so may be a little disjointed in it’s flow. Jeremy freestyled his delivery once he had established from the members pretty quickly with a show of hands what it was he should be talking ...

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