Understanding the Evolution of AI, Machine Learning, and Deep Learning

First, a little context…

Deep learning is a subset of machine learning, which in turn is a subset of artificial intelligence, but the origins of these names arose from an interesting history. In addition, there are fascinating technical characteristics that can differentiate deep learning from other types of machine learning…essential working knowledge for anyone with ML, DL, or AI in their skillset.

If you are looking to improve your skill set or steer business/research strategy in 2021, you may come across articles decrying a skills shortage in deep learning. A few years ago, you would have read the same about a shortage of professionals with machine learning skills, and just a few years before that the emphasis would have been on a shortage of data scientists skilled in “big data.”

Likewise, we’ve heard Andrew Ng telling us for years that “AI is the new electricity”, and the advent of AI in business and society is constantly suggested to have an impact similar to that of the industrial revolution. While warnings of skills shortages are arguably overblown, why do we seem to change our ideas about what skills are most in-demand faster than those roles can be filled in the first place?

#machine learning #ai #artificial intelligence #deep learning

Disentangling AI, Machine Learning, and Deep Learning
2.00 GEEK