With deep learning, there is more than one layer in the neural network; so at the end of the day, the question is not how to differentiate between machine learning and deep learning.

Learning Vector Quantization, aka LVQ (for both classification and regression) Support Vector Machines, aka SVM (for binary classification) Random Forests, a type of “bagging” ensemble ...

This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

The difference between AI and machine learning, explained November 21, 2018 - 11:49 am. A while ago ... Fields such as speech and face recognition, image classification and ...

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.