Algorithms The Mit Press

In the tradition of Real World Algorithms: A Beginner's Guide, Panos Louridas is back to introduce algorithms in an accessible manner, utilizing various examples to explain not just what algorithms are but how they work.

An essential guide to navigating our data-driven world, from the renowned psychologist and author of Risk Savvy

Quantum computing explained in terms of elementary linear algebra, emphasizing computation and algorithms and requiring no background in physics.

The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk.

The power of the ever-increasing tools and algorithms for prediction and their paradoxical effects on risk.

The entanglements of people and data, code and space, knowledge and power: how data and algorithms shape the world—and shape us within that world.

Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.