Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

[Kory] has been experimenting with genetic algorithms. Normally we’d expect his experiments to deal with tuning the variables in a control system or something, but he’s doing something much cooler.

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...

Probabilistic programming has emerged as a powerful paradigm that integrates uncertainty directly into computational models. By embedding probabilistic constructs into conventional programming ...

A 20-year-old algorithm that demonstrated the benefit of using quantum mechanics to solve certain problems has finally been run on a quantum computer. Simon’s algorithm, proposed by computer scientist ...