How much of machine learning is computer science vs. statistics? This question was originally answered on Quora by Michael Hochster.

A critical distinction between machines and humans is the way in which we reason about the world: humans through high order semantic abstractions and machines through blind adherence to statistics.

Machine-learning algorithms use statistics to find patterns in massive* amounts of data. And data, here, encompasses a lot of things—numbers, words, images, clicks, what have you.

Statistics draws population inferences from a sample, and machine learning finds generalizable predictive patterns.

In two, we recognized that many machine learning problems involve minimizing empirical risk functions with well-behaved population risks. Instead of analyzing the non-convex empirical risk directly, ...

Princeton University has established the Center for Statistics and Machine Learning. John Storey, a professor of molecular biology and the Lewis-Sigler Institute for Integrative Genomics, has been ...

How statistics can aid in the fight against misinformation Machine learning model detects misinformation, is inexpensive and is transparent Date: December 2, 2021 Source: American University ...

The program will comprise lectures and hands-on workshops covering various Big Data applications and machine learning to enhance macroeconomic statistics and nowcasting, offering insights from both ...