Tag Archives: Machine Learning

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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The JVM Option For Deep Learning When You Are Not Google Or Netflix

The JVM Option For Deep Learning When You Are Not Google Or Netflix

Realising the potential of large datasets through Deep Learning, for some, may be considered the remit of an exclusive club of organisations with deep, deep pockets and the infrastructure to assemble dedicated teams to venture into areas of research which have not yet been explored by humans. Not so, according to Adam Gibson, Founder of SkyMind, the company which supports ...

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Google Brain and Deep Learning for Language Understanding, Quoc Le, Google (INC. TRANSCRIPT)

Google Brain and Deep Learning for Language Understanding, Quoc Le, Google (INC. TRANSCRIPT)

  (TRANSCRIPT) ‘Deep Learning for Language Understanding’ Quoc Le, Research Scientist, Google Manually transcripting talks and lectures can really focus the mind and drive home the difficulties faced with natural language processing systems with understanding words spoken in different accents, punctuation, stresses and corrections which are best omitted in target text. Here is a transcript of Quoc Le’s talk at ...

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How Andrew Ng Is Developing Deep Learning at Baidu, SF Deep Learning Summit 2015

Andrew Ng Fireside Chat (TRANSCRIPT), the Deep Learning Summit 2015

One of the highlights of January’s Deep Learning Summit in San Francisco was Andrew Ng’s fireside chat with Derrick Harris (fireplace not included) in which Ng gave a fantastic insight into how the culture of learning and empowerment at Baidu, partly through Ng’s involvement with Coursera which has led to a culture in which Deep Learning has taken on a life ...

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Drag and Drop To Train A Neural Network, Metamind

Drag and Drop To Train A Neural Network, Metamind

New technology can be slightly baffling to a lot of people depending on how it is presented, and ‘a lot of people’ might be the people that would jump to use this technology if it was easier to use. Applied to Deep Learning, Metamind‘s Artificial Intelligence Platform allows users to simply drag and drop items in order to train a neural ...

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Google’s Large Scale Deep Neural Networks Project, Greg Corrado

Google’s Large Scale Deep Neural Networks Project, Greg Corrado

After leaving IBM Research where he worked on the SyNAPSE neuromorphic silicon chip, Greg Corrado became one of the founding members and the Co-technical Lead of Google’s Large Scale Deep Neural Networks Project. He is now Senior Research Scientist at Google and in this talk gives some insight into the project. Corrado has also undertaken extensive research in artificial intelligence, computational ...

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Machine Learning Used for DevOps with Sumo Logic

Machine Learning Used for DevOps Data with Sumo Logic

To start out with, the guys from Sumo Logic dreamed of a world of Yottabyte scale data where machine learning algorithms were able to make sense of it all. Today they are moving through the enterprise world in petabytes to get there. The amount of log data bulging and swirling around infrastructure systems, let alone business data, can make it ...

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Going Off Piste with the React.js Development Team, React.js Conf 2015

Going Off Piste with the React.js Development Team, React.js Conf 2015

One of the other uploads that I thought would be worth curating a few items from at the recent React.js Conf is the Q&A session with Facebook’s React.js team being quizzed by the audience. The first poke was in relation to the prototypes that run React apps in a web worker, “I’ve seen proposals for web workers and this native stuff ...

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Decision Trees and Machine Learning for Cookie Monster

Krümelmonster Muffins

Avi Bryant of Stripe is the Author of Brushfire, an extremely scalable framework for distributed and supervised learning of decision tree ensembles in Scala. This talk, featuring cookie monster, covers the architecture and algorithm of Brushfire where Bryant also runs through examples of using it with Scala library Scalding to build trees on Hadoop. Also, for context, one of the inspirations ...

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Building & Testing Docker Containers at British Gas, London Docker Meetup, Andrew Martin

Building & Testing Docker Containers at British Gas, London Docker Meetup, Andrew Martin

If you are British and over 40 years old, the mention of ‘British Gas’ may still conjure up dusty memories of a flat capped institution that is still stuck in the ’70s and whilst they may not yet have everything right (Hive Active heating app by the sounds of things here!) this talk by Andrew Martin at the London Docker ...

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