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Research
Our research in 2016: personal scientific highlights

Our research in 2016: personal scientific highlights

BlogResearchResearchposted by Gael Varoquaux July 15, 2017

Year 2016 has been productive for science in my team. Here are some personal highlights: bridging artificial intelligence tools to human cognition, markers of neuropsychiatric conditions from brain activity at rest, algorithmic speedups for matrix factorization on huge datasets… Artificial-intelligence convolutional networks map well the human visual system Eickenberg et... Read more

The 9 Deep Learning Papers You Need To Know About (Understanding CNNs Part 3)

BlogDeep LearningResearchResearchConvolutional Neural Networks|Neural Networksposted by Adit Deshpande July 13, 2017

Introduction Link to Part 1 Link to Part 2 In this post, we’ll go into summarizing a lot of the new and important developments in the field of computer vision and convolutional neural networks. We’ll look at some of the most important papers that have been published over the... Read more
Prophet is Data Science not Statistics, and there is a Difference

Prophet is Data Science not Statistics, and there is a Difference

BlogData WranglingModelingNewsResearchMachine Learning|Predictive Analyticsposted by Paul Paczuski July 2, 2017

Facebook’s prophet forecasting tool illustrates the distinction between a traditional statistical approach compared to the newer machine learning/data science paradigm. This distinction is cultural: it seems that the motivation behind prophet was to quickly make accurate forecasts (predictions), instead of getting bogged down in building models satisfying certain theoretical properties, which may or... Read more
Learning in Brains and Machines (1): Temporal Differences

Learning in Brains and Machines (1): Temporal Differences

BlogDeep LearningResearchposted by Shakir Mohamed June 22, 2017

We all make mistakes, and as is often said, only then can we learn. Our mistakes allow us to gain insight, and the ability to make better judgements and fewer mistakes in future. In their influential paper, the neuroscientists Robert Rescorla and Allan Wagner put this more succinctly, ‘organisms only learn when... Read more

What Is Data Science, and What Does a Data Scientist Do?

BlogModelingResearchposted by Alex Castrounis June 22, 2017

Introduction What profession did Harvard call the Sexiest Job of the 21st Century? That’s right… the data scientist. Ah yes, the ever mysterious data scientist. So what exactly is the data scientist’s secret sauce, and what does this “sexy” person actually do at work every day? This article is... Read more

Song Lyrics Across the United States

BlogData VisualizationResearchResearchposted by Julia Silge June 20, 2017

The inspiration for this post is a joint venture by both me and my husband, and its genesis lies more than 15 years in our past. One of the recurring conversations we have in our relationship (all long-term relationships have these, right?!) is about song lyrics and place names.... Read more
Analyzing The Papers Behind Facebook’s Computer Vision Approach

Analyzing The Papers Behind Facebook’s Computer Vision Approach

BlogResearchTech UpdatesComputer Visionposted by Adit Deshpande June 14, 2017

Introduction You know that company called Facebook? Yeah, the one that has 1.6 billion people hooked on their website. Take all of the happy birthday posts, embarrassing pictures of you as a little kid, that one family relative that likes every single one of your statuses, and you have... Read more
NYC Pre-K Explorer

NYC Pre-K Explorer

Data VisualizationModelingResearchposted by NYC Data Science Academy April 26, 2017

Shiny Project contributed by Amy Tzu-Yu Chen – Data Science Student in the NYC Data Science Academy Bootcamp Motivation In 2013, Mayor De Blasio campaigned on a promise of universal pre-kindergarten. The program makes access to free pre-kindergarten education available to all NYC families, regardless of child’s abilities and family income. Now,... Read more
Anonymization and the Future of Data Science

Anonymization and the Future of Data Science

Career InsightsResearchposted by Steve Touw April 18, 2017

Managing data privacy is becoming an increasingly difficult challenge for massive corporations littered with data silos. New data regulations–from the EU to the US to China— illustrate that this challenge is really just beginning. This trend underscores the importance of anonymization – one of the most important tools in... Read more

Data Science from Cyberspace #2

BlogResearchTechnologyposted by Alex Perrier May 2, 2016

Every week we bring you a selection of the best data science articles we find in Cyberspace. If you want to dig deeper into these Data Science and Machine Learning topics do not miss the next Open Data Science conference, Boston, May 20-22. With over a 100 talks, workshops... Read more
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