Jessica Graves is a Data Scientist who currently works on fashion problems in New York City. She’s worked with Hilary Mason at Fast Forward Labs and keeps in regular contact with the London startup scene. She shares her unique perspective on the datafication of Fashion. She comes from a background

Wearables continue to be a hugely popular item across different age groups and even continents. They track steps and sleep cycles, but just how valuable is that information? In reality, this data is only partially useful for the wearer. Without big data to decipher what is more or less healthy,

Psychological research requires a lot of testing, and a lot of surveys. When relying on surveys, there is a necessary assumption that the subject can be trusted, and that they are answering factually rather than guessing or feeling. Much of the reporting around depression is based entirely on these surveys.

1. C4.5 What does it do? C4.5 constructs a classifier in the form of a decision tree. In order to do this, C4.5 is given a set of data representing things that are already classified. Wait, what’s a classifier? A classifier is a tool in data mining that takes a

Some of the most inspiring data can be found in an unexpected place… TED Talks. Here are the best talks on everything data science. Big data and data science appear on both sides of a coin: they are driving forces behind both business and science, yet they are also a

Highly effective data analysis isn’t learned overnight, but it can be learned faster. Here are 7 habits of data analysis I wish someone told me for effectively incorporating, communicating and investing in data analysis geared towards an engineering team. 1. Value simplicity of analysis over fancy algorithms If you can’t

Google may be the first name associated with driverless cars, but they’re not the only ones interested in the technology. More importantly, it seems people have wildly different opinions on exactly how the story will play out. How much data will these cars produce? What kind of legal quandaries will

Alice is an expert on building scalable Machine Learning models and currently works for Dato who are a company providing tooling to help you build scalable machine learning models easily. She is also a keen advocate of encouraging women in Machine Learning and Computer Science. Alice has a PhD from UC

On December 1, 2015 Startupbootcamp, Europe’s leading business acceleration platform kicked off the second edition of its program, centering on the Internet of Things and Smart Data in Barcelona. More than 2,000 startups were evaluated during the initial stage of the project, 19 teams were selected to travel to Barcelona

Unstructured text data represents the biggest data set available to enterprises, yet most are unable to process the vast amount of data they collect to get any meaningful insight. Up to 80 percent of data available to enterprises is unstructured data, and comes in a variety of forms, such as