AutoML: Democratizing machine learning. Lately, a new buzzword, “AutoML,” has started to appear to denote that a machine learning algorithm comes with an additional meta-layer of automation.

A machine learning algorithm, on the other hand, might recognize that the strongest signal differentiating a dog from a cat is whether the photo is a bright outdoor photo or a dim indoor photo.

Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data. Unlike a system that performs a task by following ...

To clear things up, I drew you this flowchart on the back of an envelope so you can work out whether something is using AI or not. This originally appeared in our AI newsletter The Algorithm.

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

Machine learning is a subfield of artificial intelligence (AI) that involves the development of algorithms and statistical models, which allow computers to learn from data without being explicitly ...

The learning curve for implementing machine learning solutions is generally steep, so you’ll need a solid understanding of statistics, data science, and algorithm development.

Econometrics, statistics, and machine learning answer different sorts of questions. ML excels at finding patterns in data and using these patterns for classification and prediction.

Statistical modeling continues to deliver distinct value to businesses both independent of, and in concert with, machine learning. “Artificial intelligence” (AI) and “machine learning” are ...