Learning algorithms already make a lot of important decisions every day, from who gets credit to who gets interviewed for a job to who gets flagged as a potential terrorist. And they make mistakes.

The focus is on the mathematical foundations of state-of-the-art AI and machine learning algorithms. Students with a computer science background are admitted into the Computational concentration.

Today, computer programs use machine-learning algorithms to study piles of data and learn about the world and its people. Algorithms can tell a banker whether someone will pay back a loan.

Computer science is an ever-evolving field that impacts almost every aspect of our daily lives, yet understanding how its ...

Researchers have devised a new framework for designing machine learning algorithms that helps prevent intelligent machines from being biased.

Assessing others: Evaluating expertise of humans, computer algorithms Date: January 16, 2014 Source: California Institute of Technology Summary: Researchers used fMRI technology to monitor the ...

Core machine learning engineer: Computer science fundamentals and programming, applying machine learning algorithms and libraries, data modeling, and evaluation ...

One might imagine a past leader in computer science such as Donald Knuth exclaiming, “Algorithms should be deterministic.” That is, given any input, the output should be exact and known.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms ...