Two years ago, Shivon Zilis of Bloomberg Beta first published her widely circulated report, The Current State of Machine Intelligence. In this year's update, Shivon Zilis and James Cham offer insights into how the "Stack" of building blocks is maturing and what all businesses need to do NOW in order to survive and outlast their competitors. This is a must read for everyone interested in the business of this rapidly evolving space.
An ongoing problem with neural networks is that they are “black boxes.” After training, a network may be very good at classifying data, but even its creators will have no idea why. In a new technique developed at MIT, neural networks provide not only predictions and classifications but rationales for their decisions.
Clairvoyant is a Python package that enables you to use stock market historical data to train a supervised learning algorithm with any combination of financial indicators. From there, rapidly backtest your models for accuracy and simulate investment portfolio performance.
This growing collection of R cheatsheets covers a variety of topics including Data Wrangling, Package Development, R Markdown, Data Visualization with ggplot2, Base R, Regular Expressions, etc. Translations are also available and user contributions are welcome.
Using tidy data principles can make many text mining tasks easier, more effective, and consistent with tools already in wide use. This new book, Tidy Text Mining with R, is freely available and is focused on practical examples with code, linked references, and case studies.
The Kantar Information is Beautiful Awards celebrate excellence and beauty in data visualizations, infographics and information art. This year’s entries were outstanding. Here are the winners.
This week, there are some great resources and articles for people who are interested in extracting stories out of their data. There's a lot more to that than "data journalism." Data is only as good as the stories it reveals so in a sense, we're all looking for stories.
This week, you'll definitely want to check out csvkit in "Tools and Techniques" and don't miss "Floodwatch" in "Data Viz."
Doctors and scientists are increasingly dipping into the aggregated medical records of millions of patients to uncover patterns that might help steer care. Godsend? Or privacy concern?
Open data is the future — of how we govern, of how public services are delivered, of how governments engage with those that they serve. And right now, it is unevenly distributed. This article explains why we should care and offers suggestions for how to fix it.
csvkit started out as a small newsroom tool that made it easy to select a subset of columns from a csv file. Five years later, this tool has become a data swiss army knife. This article describes some of its most useful features which include input, processing, and output operations. If you ever work with data in an Excel or csv file, this tool is a must!
Twitter recently open-sourced an algorithm designed to ease the process of running recommendation engines at large scale. This article describes how it works and when it might be useful.
This isn't just an article about how to find stories in census data. This article lays out a strategy for finding stories in any data.
BBC just released an open data website that includes data on the places, people and organisations that appear in BBC programs and online content. This data already powers large parts of the BBC website, including BBC News and Sport, and is now available for anyone to access in standard open data formats.
Well-known for his data visualization work, Simon Rogers has started this list of key resources for finding the data that's used by journalists.
Great list of some of the best free big data sources available today. If you don't have a need for it now, this is definitely worth bookmarking.
It’s a puzzle wrapped in an enigma wrapped in a symphony. It’s the Higgs boson, the so-called God particle, the greatest physics find of the 21st century, turned into music and ultimately, visualizations. Does this strategy of using multiple sensory streams to analyze large amounts of data really work?
We spend hours a day online, and we see ads on every webpage we visit. But we don’t have any way of tracking the ads we’re being served. Until now.
Floodwatch is a Chrome extension that tracks the ads you see as you browse the internet. This is a Jer Thorp project, complete with personalized data visualizations. You don't want to miss this.
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I am a youthful 55 (although I don't look it - no wrinkles) Amusingly, everyone thinks my elder son is my toyboy!
As a languages graduate, the world fills me with a sense of wonder. I am always looking for a new language to learn, or a new country to visit. I have recently come back from Cambodia, which is amazing.
My absolute passion is cruising, which I have loved since the age of 17. Luckily my elder son (23) is the same, and he works as a cruise travel agent. We are planning a cruise to South America beginning with a stay in Rio , and so I'm trying to get to grips with Portuguese at the moment.
My most unusual hobby is helping young people into Oxford University. I have managed this with both children and a couple of their friends. This means I visit Oxford about once a month to see how the other half lives!
My interests include quizzes, swimming, classical music and literature, history (museums and art galleries) all things Oxford, watching nostalgic films, costume dramas, Poirot, Columbo, Lewis and Endeavour,
My outlook on life is to live outwardly, i.e. to care about others rather than just thinking about myself. My job is in financial services, with a lot of contact with the public. I enjoy being friendly, helpful and reassuring over the phone. Often we have quite a laugh and I always get a lot of compliments from the customers.
My friends and colleagues often tell me they love me, because I show them, by my words and actions, that they mean the world to me. I have been described by them as amazing, glamorous, caring, funny and crazy, depending which friend you speak to. Also I am boringly reliable.
I would like to find someone like Columbo (from the TV series). He is kind, intelligent, principled, likes people and feels comfortable in his own skin. He also loves and appreciates the lady in his life.
A deal breaker would be someone who resents the fact that I have a degree and speak several languages - believe me, this has happened quite often. Also, they will obviously not have to be anti Oxford, or believe any of the false stereotypes about the students.
I have a great and interesting life, but it would be perfect if I had someone to share and appreciate it with.
Paula is kind, caring, loyal, beautiful and unbelievably funny (the best kind of friend to have). She loves to travel and experience new things but has a special love of cruises so any potential partner must enjoy the high seas.
Paula has devoted much of her life to her two boys and now deserves some happiness of her own. Anyone lucky enough to date her will certainly not be disappointed :)
Paula has many qualities you only experience once you get to know her. She's a selfless mother to her two sons, and for this reason I believe she will make a loyal and caring partner. Her love of travel means that whoever dates her will have the opportunity to go to new places and experience new things with her.