MIT researchers have spent years developing the new drag-and-drop analytics tools they call Northstar. Northstar is an interactive data science platform that rethinks how people interact with data. It empowers users without programming experience, background in statistics or machine learning expertise to explore and mine data through an intuitive user interface, and effortlessly build, analyze, … Continue reading Northstar: The interactive, drag-and-drop data science platform by MIT
PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The communities approach data science using many languages, including (but not limited to) Python, Julia, and R. April 2018, a PyData conference was held in London, with three days of super … Continue reading PyData, London 2018
Google has announced to provide open access to its artificial intelligence and machine learning courses. On their overview page, you will find many educational resources from machine learning experts at Google. They announced to share AI and machine learning lessons, tutorials and hands-on exercises for people at all experience levels. Simply filter through the resources and … Continue reading Machine Learning and AI courses at Google
Professor John Kruschke and Torrin Liddell - one of his Ph.D. students at Indiana University - wrote a fantastically useful scientific paper introducing Bayesian data analysis to the masses. Kruschke and Liddell explain the main ideas behind Bayesian statistics, how Bayesians deal with continuous and binary variables, how to use and set meaningful priors, the differences between … Continue reading Bayesian data analysis for newcomers
Apparently, I was not the only geek who decided to celebrate the 20th anniversary of the Harry Potter saga with statistical analysis. Students Moritz Haine and Markus Dienstknecht of the Data Science for Decision Making Master at Maastricht University started their own celebratory project as part of a course Information Retrieval and Text Mining. Students in … Continue reading Harry Plotter: Network analysis of spell usage
There has been a lot of hype around data the past years. With the big data buzz cooling down, data now needs to be smart, apparently. Data scientists became the most sexy professionals alive, and got a martial arts assistant. Artificial intelligence has been hot for decades, the term seems to change meaning every now and then. Currently, machine … Continue reading “What’s the difference between data science, machine learning, and artificial intelligence?”, visualized.