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.

Or to put it another way, doing machine learning is necessary, but not sufficient, to achieve the goals of AI, and Deep Learning is an approach to doing ML that may not be sufficient for all ML needs.

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 ...

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.

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 ...

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.

Drug discovery has long been criticized for its slow, costly, and failure-prone nature. Traditional approaches, particularly ...

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