Data Science & Machine Learning

Google Deepmind Slowly Picking The Locks of Deep Learning

Google Deepmind Slowly Unpicking The Lock Towards Quicksand Of Deep Learning

There is every chance that the billions of us providing behavioural data to giants like Google and Facebook might be sleepwalking straight through the single most pivotal period in technological and industrial advancement. We only ever needed to look inside ourselves for the tools, quite literally, through modelling of the brains highly complex and often unpredictable neural networks. Google are acutely ...

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Deep Learning at Flickr, Pierre Garrigues

Deep Learning at Flickr, Pierre Garrigues

Pierre Garrigues is a Researcher in Machine Perception and Learning at Flickr and also spoke at the Deep Learning Summit at the end of January to give an insight into how Flickr are automating the labelling of their image libraries using Deep Learning techniques as well as the 10 million uploads which they receive each day. Flickr are part of Yahoo ...

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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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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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Essentials For Microservices And The Chaos Monkey, Martin Fowler, ThoughtWorks at XCONF

Essentials For Microservices And The Chaos Monkey, Martin Fowler, ThoughtWorks at XCONF

Martin Fowler gave this talk on Microservices at XCONF in which he describes at a high level what Microservices is along with some of the essential things you need to have in place before going live such as being able to spin up machines quickly and having monitoring in place with a DevOps culture. Fowler explains the contrast and features ...

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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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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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