Artificial intelligence (AI), machine learning (ML) and deep learning (DL) have expanded greatly in the past few years, and are predicted to keep growing in reach. However, despite their prominence in the news and their expansion into mainstream enterprise, many people still don't fully understand the difference between these three areas of computer science.
Are they complete different fields? Are they subsets of one another? Are the same algorithms used for each?
The jargon of the IT world can be confusing, especially when many fields of computer science intersect with one another. We wanted to help break it down. The infographic below takes a look at the AI, ML and DL, what they're used for and some examples of algorithms used in each.
Tech moves fast! Stay ahead of the curve with Techopedia!
Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.
Share this Image On Your Site
[Free eBook] The 5 Foundational DevOps Practices | DOWNLOAD TODAY
As your organization progresses through its DevOps journey, what are the best practices that successful teams use that you should follow? Download the guide to learn more.
Download Now
