In general, classical (non-deep) machine learning algorithms train and predict much faster than deep learning algorithms; one or more CPUs will often be sufficient to train a classical model.

Machine learning, deep learning, and artificial intelligence all have relatively specific meanings, but are often broadly used to refer to any sort of modern, big-data related processing approach. In ...

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 vs. machine learning: what's the difference between the two? We provide a simplified explanation of both AI-based technologies.

In my last article I wrote about the difference between AI and Machine Learning (ML). While ML is often described as a sub-discipline of AI, it’s better to think of it as the current state-of ...

The key difference between ML and DL . One of the biggest differences between deep learning and other forms of machine learning is the level of “supervision” that a machine is provided.

Machine learning and deep learning are under the umbrella of artificial intelligence. There are so many useful applications for them today. For example, machine learning is being used for image and ...

Deep Learning, a subset of machine learning, takes inspiration from the human brain. Here, artificial neural networks, which mimic the way neurons signal each other, are used to process data in ...

What is the difference between AI, Machine Learning, NLP, and Deep Learning? originally appeared on Quora: the knowledge sharing network where compelling questions are answered by people with ...