The taxonomy I personally use is:
* Every computer program has algorithms, it's an extremely general term for "the idea behind how the computer will solve the problem". Advanced algorithms are typically those that took a lot of human effort to come up with.
* Machine Learning refers to a specific class of algorithms where the computer automatically figures out (part of) what it should do based on data.
* Deep learning is the subset of ML that uses deep neural networks.
* Artificial Intelligence is a marketing term, and is actually about the _problem_ being solved, not the technology being used to solve it. In particular, AI is any computer program that solves a problem people would previously expect can only be solved by a human applying creativity and/or intelligence, like playing a game, understanding natural language, or creating artwork. This definition is obviously a moving target as expectations change.
Deep learning is currently the most powerful and general toolkit for solving AI problems, so the concepts tend to get mixed together pretty frequently, but I personally like using the definitions above to keep things straight.
* Every computer program has algorithms, it's an extremely general term for "the idea behind how the computer will solve the problem". Advanced algorithms are typically those that took a lot of human effort to come up with.
* Machine Learning refers to a specific class of algorithms where the computer automatically figures out (part of) what it should do based on data.
* Deep learning is the subset of ML that uses deep neural networks.
* Artificial Intelligence is a marketing term, and is actually about the _problem_ being solved, not the technology being used to solve it. In particular, AI is any computer program that solves a problem people would previously expect can only be solved by a human applying creativity and/or intelligence, like playing a game, understanding natural language, or creating artwork. This definition is obviously a moving target as expectations change.
Deep learning is currently the most powerful and general toolkit for solving AI problems, so the concepts tend to get mixed together pretty frequently, but I personally like using the definitions above to keep things straight.