In case you were wondering what makes a great data scientist, or actually what data scientist really means, or you know what, forget that, what is data science anyway, well here you can watch what I think on these topics. You can also get a better idea about the philosophy we designed the Data Science Bootcamp around.
In this interview, I answered the following questions: What is a data scientist? What do data scientists do? What are the qualities of a great data scientist? What are the most important elements of a data science project? What is the teaching philosophy of the Metis Data Science Bootcamp? How does the bootcamp experience compare to being on a data science team? What is the application and interview process for the bootcamp? What does the typical day and week for a bootcamp student look like?
Would it surprise you to learn that Big Data is not a catch-all term for all the extensive and exciting work happening in the world of data today? It’s hard not to think of it as a catch-all when it’s used so ubiquitously. The fact is, Big Data only represents one part of the data picture that businesses need to understand in order to derive competitive advantage and identify new opportunities from their data sources and assets.
This blog post summarizes Datascope's viewpoint on the difference of Big Data and Data Science.
In an interview with Information Management, conducted by Julie Langencamp, I've talked about the hype surrounding data science, as well as the realities and the necessities of it. We discussed the skills and traits needed to be successful at data science, how to acquire them, and how companies can build successful data science teams.
What are your top ten favorite movies of all time? This is a very difficult question. But why?
In February 2014, I gave a talk explaining the challenges of measuring how much we like movies, books, songs, or products; combining insights from diverse sources like the Netflix Prize, Duncan Watts' social experiments, or the beginnings of Facebook. The better we get at measuring and ranking levels of enjoyment, the better we can customize websites, sort search results, find other people with similar tastes, and recommend products, so can we overcome these challenges? Drumroll... Yes, we can, with Bayesian ranking algorithms.
I made the Movie versus Movie web app as a proof of concept for the ideas I explain in the talk. Now you can find out your top ten favorite movies as well.
Together with Dean Malmgren and Mike Stringer, I analyzed the three main paths for becoming a data scientist: Master's programs, massive open online courses, and bootcamps. As designer of a data science bootcamp, I like one of these more than others. However, we really present an objective comparison here, and I honestly believe the right option changes from person to person.
Two men enter, one man leaves. I am pitting these eternal rivals against each other in a death match. Which approach is the better statistical model? And more importantly, which website is willing to eat the other's liver in order to survive?Read More
15 years ago, there was a big racial divide in internet access. Since then, use of the web increased dramatically, and this gap has diminished. However, as Sharad Goel, Jake Hofman and I show in our paper, substantial inequalities still persist across demographic groups. When I was working at Yahoo! with Duncan Watts, we started investigating Nielsen data on the browsing history of quarter million individuals, predicting user demographics from their history and categorizing differences in online experience. This Messy Matters article explains some of our findings.
Theoretically, we could use past records to infer probabilities of new crime at each neighborhood at a given time. Instead of reacting to crime, increased patrols in an area can prevent it. Can we really do the whole Minority Report thing, but with machine learning replacing the naked precognitive ladies? Can we predict crime?Read More
In a complex network study that I published in Science with Daniel Stouffer, Marta Sales-Pardo and Jordi Bascompte, we showed a first step towards uniting global conservation efforts. We can identify a species that is crucial to the diversity of a specific food web (ecosystem). This can tell us a lot about ecosystems all around the world. If a species is important in one system, others genetically similar to it in different systems tend to be important as well. Here are a couple of articles that appeared in press about it.
I love movies. Especially when they show cool scientists doing crazy science. Here is one simple weird trick to utilize movie science to keep your focus as a PhD student. And the name of the trick's inventor? Albert Einstein. PhD advisors hate him.Read More