By Sylvia Marino

AI, Machine Learning, and Deep Learning – What’s the Difference?



Artificial Intelligence
AI is a branch of computer science aimed at the simulation of intelligent behavior in computers and the capability to imitate intelligent human behavior. By providing pre-defined input and programming a system that can ‘think’, and carry out tasks similar to humans.

Machine Learning
A subset of AI, Machine Learning focuses on how to make machines learn on their own using pattern recognition, statistical modeling and .

At its core, machine learning is a collection of algorithms that can learn from and make predictions based on recorded data, optimize a given utility function under uncertainty, extract hidden structures from data and classify data into concise descriptions.  – Amazon Web Services

Where typical computer programming generates code-specific outputs (e.g. if this, then that), Machine Learning uses ever-changing data inputs to generate statistical models that predict the correct result based on prior patterns and positive outcomes. Companies like Amazon have highly leverage machine learning to help grow their business – yes, even know which products to suggest based on your buying history and others.

Deep Learning
A subfield of Machine Learning is Deep Learning is machine learning at a much deeper level, based on deep neural networks. It uses layers of nodes to perform calculations, each node connected to a network, each providing information and calculations back to cohesively solve a problem end-to-end. With each node working simultaneously, reaction and processing time is greatly decreased, allowing for faster response time. Deep learning is part of the driverless car effort and even chatbots like Amazon’s Alexa or Google Home carrying out a conversation with you.


The Key Definitions Of Artificial Intelligence (AI)

Since the first use of the term artificial intelligence in 1956, the field of AI has grown and has the attention of all industries, splintered into specialized areas and evolved into creating AI tools and services that complement humans. Here are 6 definitions of AI and a look at.

What is Artificial Intelligence (AI)?

Learn how Artificial Intelligence (AI) solves cognitive problems commonly associated with human intelligence through machine learning and deep learning. Broadly, these techniques are separated into “supervised” and “unsupervised” learning techniques, where “supervised” uses training data that includes the desired output, and “unsupervised” uses training data without the desired output.

AI, Machine Learning, & Deep Learning Explained in 5 Minutes

The term “Artificial Intelligence” has been floating around for a while. We see it in sci-fi movies, “AI” game bots we play against, Google search, and, oh yeah, those robots that are some day going to take over the world. Off late, though, “Machine Learning” and “Deep Learning” have surfaced, with many asking what exactly each of these are.

Deep Learning vs. Machine Learning

Deep learning is basically machine learning on a “deeper” level (pun unavoidable, sorry). It’s inspired by how the human brain works, but requires high-end machines with discrete add-in graphics cards capable of crunching numbers, and enormous amounts of “big” data. Small amounts of data actually yield lower performance.

By Sylvia Marino
PublishThis Content Marketing Specialist - Here to bring you the best news from around the web pertaining to Social Media, Content Marketing, and Publishing Technologies. Over 25 years experience in online publishing including online communities, social media, editorial workflows, and content strategies.