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Wading into Deep Learning, a 30 minute query

Wading into Deep Lea...

In this interview, Jonathan Schwarz of Google DeepMind shares insight on Deep Learning projects. He offers tips and advice for the those interested in DL, and explains whether DL projects relate to other data driven projects? He comments on effective team size, software, frameworks, common mistakes, resources for learning, and more all under 30 minutes. Have a good lunch! Jonathan […]

Deep Learning as the apotheosis of Test-Driven Development

Deep Learning as the...

Even if you aren’t interested in data science, Deep Learning is an interesting programming paradigm; you can see it as “doing test-driven development with a ludicrously large number of tests, an IDE that writes most of the code, and a forgiving client.” No wonder everybody’s pouring so much money and brains into it! Here’s a […]

Faster deep learning with GPUs and Theano

Faster deep learning...

Originally posted by Manojit Nandi, Data Scientist at STEALTHbits Technologies on the Domino data science blog Domino recently added support for GPU instances. To celebrate this release, I will show you how to: Configure the Python library Theano to use the GPU for computation. Build and train neural networks in Python. Using the GPU, I’ll […]

Twelve types of Artificial Intelligence (AI) problems

Twelve types of Arti...

Background – How many cats does it take to identify a Cat? In this article, I cover the 12 types of AI problems i.e. I address the question : in which scenarios should you use Artificial Intelligence (AI)?  We cover this space in the  Enterprise AI course Some background: Recently, I conducted a strategy workshop for a group […]

Deep Learning, IoT Sensor Data…and Bats!

Deep Learning, IoT S...

At the very center of Internet of Things excitement is the sensor. Not just one sensor, mind you, but a sensor that normally would just be sending a data stream to who knows where would now have access to the information from another sensor measuring something completely different. Now imagine your entire office building awash […]

Diagnosing Heart Diseases with Deep Neural Networks

Diagnosing Heart Dis...

The Second National Data Science Bowl, a data science competition where the goal was to automatically determine cardiac volumes from MRI scans, has just ended. We participated with a team of 4 members from the Data Science lab at Ghent University in Belgium and finished 2nd! The team kunsthart (artificial heart in English) consisted of […]

Getting Started with Deep Learning

Getting Started with...

This was originally posted on the Silicon Valley Data Science blog. At SVDS, our R&D team has been investigating different deep learning technologies, from recognizing images of trains to speech recognition. We needed to build a pipeline for ingesting data, creating a model, and evaluating the model performance. However, when we researched what technologies were […]

Deep Learning: the Silver bullet?

Deep Learning: the S...

In 2016, we saw a wide range of breakthroughs having to do with artificial intelligence and deep learning in particular. Google, Facebook, and Baidu announced several breakthroughs using deep learning. Google also defeated Go. Deep learning is one specific class of machine learning algorithms. It has a long history, taking its roots in the earlier […]

Recommending music on Spotify with Deep Learning

Recommending music o...

Overview This is going to be a long post, so here’s an overview of the different sections. If you want to skip ahead, just click the section title to go there. Collaborative filtering A very brief introduction, its virtues and its flaws. Content-based recommendation What to do when no usage data is available. Predicting listening […]