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.

Game-playing AI – Artificial intelligence (AI) that can play games at a superhuman level has been created using deep learning algorithms. One example of this is the AlphaGo AI, which won the ...

Deep Learning is used by Google in its voice and image recognition algorithms, by Netflix and Amazon to decide what you want to watch or buy next, and by researchers at MIT to predict the future.

Supervised learning refers to the process of training AI deep learning algorithms with labeled data. Supervised learning is analogous to when a parent teaches a toddler what things are called. For ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...

Artificial intelligence, machine learning, and deep learning have become integral for many businesses. But, the terms are often used interchangeably. Here's how to tell them apart.

Deep learning finally allows machines to tackle problems of similar complexity to those humans can solve, and has been responsible for impressive AI achievements in recent years.

Deep learning, on the other hand, is a subset of machine learning: it's the most advanced AI field, one that brings AI the closest to the goal of enabling machines to learn and think as much like ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).