Big data algorithms can discriminate, and it’s not clear what to do about it Published: August 13, 2015 1:56am EDT. Jeremy Kun, University of Illinois Chicago. Author.

To the press, policymakers and general public, the data-driven revolution is presented as the search for “truth” through data and algorithms.

So, an algorithm is the process a computer uses to transform input data into output data. A simple concept, and yet every piece of technology that you touch involves many algorithms.

What if the computer algorithms could tell more compelling stories than journalists, writers or business analysts? Well, this is increasingly becoming a reality. A new generation of Big Data tools ...

OLAP servers organize data into multidimensional hierarchies, called cubes, for high-speed data analysis. Data mining algorithms scan databases to uncover relationships or patterns. OLAP and data ...

Machine learning algorithms. Machine learning depends on a number of algorithms for turning a data set into a model. Which algorithm works best depends on the kind of problem you’re solving, the ...

Basic toolkit for the design and analysis of algorithms: Running time, Recurrence relations, Big-O notation, Correctness, Finite induction, Loop invariants. Tour of the most important data structures, ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...