If You Liked This, Sure You Love That

...But Web sites have this significant advantage over brick-and-mortar stores: They can track everything their customers do. Every page you visit, every purchase you make, every item you rate — it is all recorded. In the early ’90s, scientists working in the field of “machine learning” realized that this enormous trove of data could be used to analyze patterns in people’s taste. In 1994, Pattie Maes, an M.I.T. professor, created one of the first recommendation engines by setting up a Web site where people listed songs and bands they liked.

Amsterdam gaat illegale Airbnb's aanpakken met 'big data'

De gemeente Amsterdam gaat nieuwe digitale onderzoeksmethoden inzetten om illegale woningverhuur aan toeristen op te sporen. Amsterdam gaat daarvoor de website van Airbnb en andere aanbieders 'scrapen'. Dat is het geautomatiseerd verzamelen van allerlei data van een website om het vervolgens te analyseren.


AlphaGo: Mastering the ancient game of Go with Machine Learning

Games are a great testing ground for developing smarter, more flexible algorithms that have the ability to tackle problems in ways similar to humans. Creating programs that are able to play games better than the best humans has a long history - the first classic game mastered by a computer was noughts and crosses (also known as tic-tac-toe) in 1952 as a PhD candidate’s project. Then fell checkers in 1994. Chess was tackled by Deep Blue in 1997.

Vind de Auteur (stylo R package)

Wie is Fatima Dakmar? Het antwoord op deze vraag dient het belang van de gehele Nederlandstalige journalistiek. GeenStijl merkte al op dat iemands schrijfstijl zijn of haar identiteit moet kunnen verraden, maar ondanks vele reaguursels bleef de oproep zonder resultaat. Tot nu. In dit artikel beschrijf ik mijn onderzoek en onthul ik een wetenschappelijk onderbouwde kandidaat die achter het pseudoniem schuil zou kunnen gaan.

Tesla Auto Pilot

Tesla’s new autopilot system is relying on the cutting edge of machine learning, connectivity and mapping data.

While Tesla’s new hands-free driving is drawing a lot of interest this week, it’s the technology behind-the-scenes of the company’s newly-enabled autopilot service that should be getting more attention.

At an event on Wednesday Tesla’s CEO Elon Musk explained that the company’s new autopilot service is constantly learning and improving thanks to machine learning algorithms, the car’s wireless connection, and detailed mapping and sensor data that Tesla collects.


Every time you go shopping, you share intimate details about your consumption patterns with retailers. And many of those retailers are studying those details to figure out what you like, what you need, and which coupons are most likely to make you happy. Target, for example, has figured out how to data-mine its way into your womb, to figure out whether you have a baby on the way long before you need to start buying diapers.

Stephen Wolfram

Stephen Wolfram was born in London and educated at Eton, Oxford, and Caltech. He received his Ph.D. in theoretical physics in 1979 at the age of 20, having already made lasting contributions to particle physics and cosmology. In 1981 his work was recognized by a MacArthur award. In the early 1980s he made a series of classic discoveries about systems known as cellular automata, which have yielded many new insights in physics, mathematics, computer science, biology, and other fields. In 1986 he founded Wolfram Research, Inc.

Netflix Prize

The Netflix Prize was an open competition for the best collaborative filtering algorithm to predict user ratings for films, based on previous ratings without any other information about the users or films, i.e. without the users or the films being identified except by numbers assigned for the contest. The competition was held by Netflix, an online DVD-rental and online video streaming service.