Data Science & Machine Learning

The People Driving Large Scale Machine Learning with Apache Spark

welder

The popular benchmark banded around about Apache Spark‘s machine learning library MLlib is that it is ten times faster than Hadoop based Apache Mahout as an environment for building scalable machine learning applications and a hundred times faster than Hadoop MapReduce. It’s scalabilty is also proven in production to over 8,000 nodes with the ability to cache datasets in memory ...

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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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Amazon Turns up to The Machine Learning Camp Fire with Huge Bellows

Amazon Turns up to The Machine Learning Camp Fire with Huge Bellows

To date, most serious machine learning tools and efforts have been assembled around internal bespoke systems which have to make sense of insane amounts of unstructured data. Now Amazon has unleashed Amazon Machine Learning, leveraging it vast resources which will integrate with it’s present suite of products and console. Amazon is creating value once again by delivering a product which takes ...

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The Week in Machine Learning – 11th April 2015

The Week in Machine Learning – 11th April 2015

Jeff Heaton’s Kickstarter campaign to write the third book in his series on Artificial Intelligence for Humans came to the end of it’s funding period last week, having raised a lot more than the $2,500 target. Volume 3 presents Deep Belief and Neural Networks – follow Jeff on Twitter to keep up to date on progress, support Jeff in his ...

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Deep Learning for Dummies, Carey Nachenberg

Deep Learning for Dummies, Carey Nachenberg

Stanford University Computer Systems Colloquium hold live talks throughout the academic year which are open to the public and last Tuesday saw Carey Nachenberg of Symantec and UCLA CS as guest speaker presenting to an audience of mixed backgrounds and levels of experience with ‘Deep Learning for Dummies’. The aim of the talk was to give a high level idea ...

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A Feast of Machine Learning Talks in New York City

A Feast of Machine Learning Talks in New York City

Last week saw the New York City instalment of MLConf 2015 in a day which was bursting with insightful talks from respected experts who are at the leading edge of the commercial application of machine learning techniques, delivering more than fifteen sessions over the event. Corinna Cortes, Head of Research at Google kicked off the day with ‘Finding Structured Data ...

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Bringing the Lessons of Node.js Down to The Database with RethinkDB – Josh Kuhn

Bringing the Lessons of Node.js Down to The Database with RethinkDB – Josh Kuhn

RethinkDB is an open source distributed database, based on Node’s streaming model, built to store JSON documents and scale to multiple servers. Josh Kuhn gave this talk at Geekdom in San Francisco outlining how Rethink allows you to scale queries and make replication easy in the real time web environment. Rethink started out by addressing some of the performance shortcomings ...

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Deep Learning for Self Driving Cars With a 2.3 Teraflop Motherboard, NVidia’s Drive PX

Deep Learning for Self Driving Cars With 2.3 Teraflops, 2015 GPU Technology Conference

Jen-Hsun Huang, CEO and Co-founder of Santa Clara based GPU manufacturer Nvidia presented at this week’s GPU Technology Conference in Silicon Valley, explaining how deep learning will allow manufacturers to develop self driving cars and talks specifically about their Drive PX platform which will allow for sophisticated structure-from-motion and advanced stitching for better image rendering. Huang believes that the big bang of ...

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