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Artificial Intelligence vs. Machine Learning: What’s the difference

On the other hand, ML falls under the umbrella term of artificial intelligence. It is a subset whereas AI is the overall subject of acting smart. ML processes data and learns facts which could be difficult for humans due to any reason. ML has the potency to think and act beyond human intelligence.

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Artificial Intelligence vs. Machine Learning: What’s the difference

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  1. ArtificialIntelligencevs.MachineLearning:What’sthedifference?ArtificialIntelligencevs.MachineLearning:What’sthedifference? Artificialintelligence(AI)mimics humanintelligenceandfalls under the field of computer science.In simplewords,AIdevelopsintelligentsystemsthathasthepowertosimulatehuman intelligence.It is constituted of two words “Artificial” and “Intelligence” which is defined as "a human-made thinkingpower." The amazing thing about AI is that it requires no pre-programming, instead it is backed with algorithms thathas the potentialtousetheir own intelligence.Machine learning(ML) isa subsetof the technology and hence offers algorithms like deep learning neural networks and Reinforcement learningalgorithm.You enjoy intelligentfeatures ofAIby usingit ona dailybasisin theform ofSiri, Google,andAlphaGo. Although, the technology is in its nascent stage, it still is misunderstood by many. This has led to confusionscentringaround itand machine learning.UnderstandingAIas‘justsmart’technologywill be an understatement.Thetechnologyholdsthe supreme powerofproblem-solving,learning,and planning,analysingdata,andidentifying patternstoimitate those manners. On theother hand,MLfalls under the umbrella termofartificialintelligence.Itis a subsetwhereas AIis the overallsubjectof actingsmart.MLprocessesdata andlearns factswhichcouldbe difficult

  2. for humansdue toany reason.MLhas the potencytothinkand actbeyondhumanintelligence.Itis best to leverage this technology for managing humongous sets of data rapidly with the help of algorithms which erratically change and get better over time. Let’s peek into the best example of it; Machine learningcollectsdataonamanufacturingplantfromits integratedmachinesand sensors onitsnetwork in bulkquantitieswhich is todaybeyondhumanintelligence.Further,thetechnology derives patterns andidentifyanomalies, helping humansto look ontoaproblemwhichotherwise wouldhave been overlooked.Itgets humans withusefulinformation thathumans can’t manually. ThisiswhatMLisineasylanguage. AIvs.ML:KeyDifferences

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