There is a lot buzz around AI ( Artificial intelligence ) and ML ( Machine learning ) and DL ( Deep Learning ) now a days,
Big IT and Tech Companies are offering hefty paychecks to the people who are proficient in these technologies, even many non tech people have great curiosity about these terms. AI is also one of the favourite word of hollywood, used often in sci fi movies.
lets understand basics of these technologies in simple words :
AI ( Artificial intelligence ) : We humans have natural intelligence, traditional old fashioned machines did not have intelligence, Artificial intelligence is term used where machines are capable of showing their own intelligence, in other words they can show atleast some amount of human or animal behaviour in terms of intelligence, concepts of AI is older then 60 years.
AI ( Artificial intelligence ) is very Big field and ML ( Machine learning ) and DL ( Deep Learning ) are its subset, in fact DL is subset of ML. "Intelligent agents" is a important term in field of AI research, Intelligent agents or IA understands its surrounding or environment, and takes action independently in order to achieve ojectives, unlike normal machines such agents may show improvement in performance either with exiting knowledge ( data ) or through learning which may also involve some kind of feedback mechanism, ( Think of thermostat device which regulates temperature as a simple AI agent ).
have you ever thought that how does Google or other search engines giving you very accurate recommendation ? well answer is simple they are making use of AI.
AI is everywhere from search engines to music or video steaming apps such as youtube, to tesla`s self driving cars.
To make a machine which have Artificial intelligence capabilty you need methods which are able to learn, in other words you need ML, thse learning methods make use of data available to them and try to provide improved performance while making decisions and predictions,ML is sometimes also called predictive analysis, ML programs perform tasks based on learning from data instead of being explicitly Programmed to do so.
DL is part of machine learning ( ML ), just like biological brain has Neurons, DL is based on Artificial neural network which in turn inspired from biological neural networks ( biological brains ), Automatic speech recognition can be cited as example DL.
As a Software Professional, you should know that There are many Programing languages and software libraries used in field of AI,ML and DL, few of them are LISP,R, Python and ternsorflow
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