What is the relationship between the following terms: Machine learning, Deep learning, Artificial intelligence?

Question

Machine learning

Good afternoon friends! Please explain how such concepts as Machine learning, Deep learning, Artificial intelligence are related. I understand that some of these terms define others, but I don’t understand a clear connection between them.

Answer 1

In this course https://www.youtube.com/playlist?list=PLUl4u3cNGP6... the following semantics was established:
AI is a model that deals with making decisions, making some kind of choice. Even the simplest pathfinding algorithms are also AI.
Such programs can be written by hand, inventing algorithms on your own - this is the so-called. rule-based systems. We can use existing data (input + output values) and fit our model with some variable values ​​to this data. This is called machine learning.
There are many machine learning algorithms and models, such as selection trees and random forests, Support Vector Machines (SVM), and neural networks. The field of machine learning dedicated to the operation of deep neural networks is called deep learning.
An example of AI without machine learning would be a pure regular expression or AIML chatbot. Or some scheme for planning the takeoff / landing of aircraft at the airport.

Answer 2

Have you read the definition of these terms? Or just decided to save time by asking a random question? )
Machine learning is an area of ​​AI. Deep Learning is a field of machine learning. Big Data - big data (???), which is needed for all the terms that interest you. Data science = all of the above + more.
I see no reason to write here huge texts of what is already in abundance on the Internet. If you want something specific, then ask specifically. Now I just see too lazy to open the same Wikipedia.

Answer 3

machine learning - this is the name of the scheme thanks to which the algorithm can adapt to the required result (roughly speaking, self-improve), deep learning is machine learning on a large amount of data, artificial intelligence - initially this meant artificial intelligence (the same as yours, for example, only artificially created ), but now more and more they simply mean at least some signs of independent decision-making (already supposedly intelligence), in general, these are already categories from philosophy, not programming. It is assumed that machine learning is one of the foundations for artificial intelligence.