Machine learning and traditional algorithms are “two substantially different ways of computing, and algorithms with predictions is a way to bridge the two,” said Piotr Indyk, a computer scientist at ...

Domingos’ book is, to the best of my knowledge, the first general history of the machine-learning field. He covers the alternate paradigms that gave rise to machine learning in the middle of the ...

A surge of interest in the problem began four years ago with groundbreaking results from the group of Edward Ott, a leading chaos researcher at the University of Maryland.Ott’s team found that a type ...

Kartik Hosanagar is a John C. Hower Professor of Technology & Digital Business and a professor of Marketing at Penn. In his new book, Wharton professor Kartik Hosanagar wants to start a new ...

Look closely at any machine-learning algorithm and you’ll inevitably find people—people making choices about which data to gather and how to weigh it, choices about design and target variables.

→ It doesn’t take much to make machine-learning algorithms go awry → An algorithm can diagnose a cold from changes in someone’s voice From the April 8th 2023 edition ...

Molnar has written the book "Interpretable Machine Learning: A Guide for Making Black Box Models Explainable", in which he elaborates on the issue and examines methods for achieving explainability.