Data Science & Machine Learning

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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Tackling Cancer with Machine Learning – IBM Emerging Technology Centre

Tackling Cancer with Machine Learning – IBM Emerging Technology Centre

Cancer currently accounts for roughly 13% of all deaths globally and, interestingly, this statistic is the same across developed and undeveloped countries where the best chance of effective treatment with cancer is through early detection allowing patients and medical staff to make early remedial planning decisions. IBM’s Hursley Labs in the UK comprise a small team of specialised researchers and ...

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8 Open Source Reasons To Love Netflix

8 Brand New Reasons To Love Netflix – From A Technology Perspective

You have got to love the transparency of how Netflix deliver their product from a tech perspective. The latest iteration of Netflix Open Source Software Meetup which is completely open to the public took place this week in Los Gatos featuring eight new projects speakers with lightening talks and community users from IBM Watson, Nike Digital and Pivotal. Netflix do not have ...

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10 Machine Learning Lessons Harnessed By Netflix

Popcorn overflow

Netflix invests considerable resources into Deep Learning in order to create a service which gives users what they want, ideally before they know it. That is to say modestly, using resources available to them through AWS without needing an entire data centre full of dedicated machines in order to create a Neural Network. For these networks multiple models will usually ...

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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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North Carolina Regional Internet of Things Meetup 2015 Kickoff

North Carolina Regional Internet of Things MeetUp 2015 Kickoff

The North Carolina Regional Internet of Things (RIoT) MeetUp put in a solid show for what promises to be a big year for IoT at the Durham Bulls Stadium in downtown Durham, NC. If you are looking for a technical talks on IoT devices, you probably won’t get much out of these presentations as they are very high level and more ...

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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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