How much of machine learning is computer science vs. statistics? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with unique insights.

Computers have made it possible to collect vast amounts of data from a wide variety of sources. It is not always clear, however, how to use the data, and how to extract useful information from them.

The key idea behind the probabilistic framework to machine learning is that learning can be thought of as inferring plausible models to explain observed data. A machine can use such models to make ...

People love sports for being unpredictable, but that doesn’t mean sports are actually unpredictable. It just means they feel that way. And no one knows this better than Bobby Skoff because Bobby Skoff ...

The deep learning revolution has ushered in a new generation of machine learning tools capable of identifying the patterns in massive noisy datasets with accuracy that often exceeds that of human ...

The field of machine learning includes the development and application of computer algorithms that improve with experience. Machine learning methods can be divided into supervised, semi-supervised and ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world. Machine-learning algorithms are responsible for the vast majority of the artificial intelligence ...