Tags » Knowledge Discovery

Why Data Science?

Data Science has become a hot topic lately. As usual, there’s not a lot of agreement about what data science actually is. I was on a panel last week, and someone asked afterwards what the difference was between data mining, which we’ve been doing for 15 years, and data science. 166 more words

Data Mining and Knowledge Discovery

Data Mining & Knowledge Discovery has revolutionized the businesses in the current era. Now there is no need of having a think tank to figure out the business policies. 11 more words

Artificial Intelligence

A Big Year for Innovation: What technology Does for USAID

Ann Mei Chang is the Executive Director of the U.S. Global Development Lab at USAID (U.S. Agency for Internal Development). This special sector of USAID was created last April to heighten awareness toward the application of science and technology for a greater impact in helping end extreme poverty worldwide. 221 more words

Serra Schlosser

More subtle lessons from the Sony hack

There are some obvious lessons to learn from the Sony hack: perimeter defence isn’t much use when the perimeter has thousands of gates in it (it looks as if the starting point was a straightforward spearphishing attack); and if you don’t compartmentalise your system inside the perimeter, then anyone who gets past it has access to everything. 193 more words

Making recommendations different enough

One of the major uses of data analytics in practice is to make recommendations, either explicitly or implicitly. This is one area where the interests of marketers and the interests of consumers largely run together. 521 more words

Predicting the Future

Arguably the greatest contribution of computing to the total of human knowledge is that relatively simple results from theoretical models of computation show that the future is an inherently unknowable place — not just in principle, but for fundamental reasons. 1,131 more words

The right level of abstraction = the right level to model

I think the take away from my last post is that models of systems should aim to model them at the right level of abstraction, where that right level corresponds to the places where there are bottlenecks. 438 more words