Question

Please give real life easy simple examples and applications To differentiate the differences among the following technical terms.

Artificial Intelligence, Deep Learning, Machine Learning.

How to differentiate between all three . Please provide real life examples , real life applications to explain the difference.

Answer 1

AI - AI is the science and engineering of making intelligent machines.not only would it learn what to do, but also decide when to do what it wants to do.intelligence is the ability to make decisions without instruction and programming.

Machine learning - is a powerful technique in artificial intelligence that uses data and examples to learn patterns and structure in the environment. it is a Subfield of AI.

Deep learning - is a technique within the field of machine learning that uses variants of fundamental artificial neural network model to determine more complex structures and patterns in data.

->The relationship among them is just that deep learning is a subset of machine learning, which happens to be a subset of the field of artificial intelligence.

Here’s an apt diagram:

Real life example :-
-> automatic car :- In this , there's not only AI model use to drives automatic car. some deep-learning models specialize in streets signs while other are trained to recognize pedestrians.as a car navigates down the road ,it can be informed by up to millions of individual AI models that alllow the car to act.

-> deep-learning robots :- deep - learning applications for robots are plentiful and powerful from an impressive deep-learning system that can teach a robot just by observing the actions of a human completing a task to a housekeeping robot that’s provided with input from several other AIs in order to take action. Just like how a human brain processes input from past experiences, current input from senses and any additional data that is provided, deep-learning models will help robots execute tasks based on the input of many different AI opinions.