Tag Archives: Data Science

Exactly How do you Define the Data Scientist Skillset?

I look at a lot of characteristics in Software Developers for my clients and I still find it extremely challenging to find the right balance of skills and character for me to represent someone. It’s usually the small things that can be the most telling, perhaps the attention to detail or lack thereof but almost always the information beyond the ...

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Deep Learning at Facebook AI Research

golden gate bridge and transamerica building

The unrelenting thirst for us to pour as much data about ourselves into the vaults at Facebook has created the perfect nesting ground for Data Scientists to gather with thoughtful fingers tapping together and create the tools to manipulate it. When the other big machine learning houses of the world, Google, Baidu, Netflix and so on are all generating value from ...

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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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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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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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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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Top Resource Digest, Links from around the Community | Monday 9th February 2015

Top Resource Digest, Links from around the Community | Monday 9th February 2015

A collection of resources, blog posts and links on various technologies from around the web this week. JavaScript Sneaky JavaScript techniques for quick fixes Replace Coffeecript with ES6   Clojure/Functional Programming Getting the hang of (map) by Clojure Geek Otto.de recent release of Clojure microservices to Github Walmart Labs, San Francisco looking for Clojure Engineer ClojureScript minimal dev vs production ...

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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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The Internet Of Things And Humans | Tim O’Reilly, Catalunya, Spain

The Internet Of Things And Humans | Tim O’Reilly, Catalunya, Spain

If we could start the world over again with the capabilities we have today, what would it look like? Tim O’Reilly explores some examples of improving real world workflows with the power of sensors and data which means that we have to do less. This means gathering components together into a data based system to create tools which make our ...

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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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