Artificial intelligence is mostly divided into two parts : Narrow AI and General AI . The Narrow AI is the AI that is designed to perform one task which is the part that is mostly performed by humans . The General AI is the one that represents the future of AI which is the reason why some people call it the "true AI" , the general is the part mostly performed by machines , which is developing very fast over the years .
The machine learning is also a big part of AI , it is the part where the data is installed into machines without actually being programmed , this part focuses on the development of the engine and make it responsible for its own learning process and development.
Machine learning is divided into 4 parts :
1- supervised learning : the type of machines that is designed to take data that the machine has already learned in the past and apply it to a new data which is done through algorithms. 2- unsupervised learning : the type of machines that needs to find out what it is seeing by itself with no human help , this type is a more complex process but it works well when the data is well transacted . it is used more than supervised because it can work without human help as long it is guided appropriately.
3-semi-supervised learning : it is often called (SSL) this type of machines is between the unsupervised and the supervised since it has data already installed in , but can use self oriented function to guide it self .
4- reinforcement learning : the type of machines that uses a ( if/what ) function , which is basically a reward and punishment system where is gets rewarded for acting right , and punishment for acting wrong , so it learns to guide itself without any human help .
resources :
1-https://certes.co.uk/types-of-artificial-intelligence-a-detailed-guide/
A good research post, but remember to add the context again, what have you learned from this in context to your project development?
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