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2017 - 2018

2017 - 2018. Introduction to M achine L earning  It is algorithm used for learning to do stuff  is a field of computer science that uses statistical techniques to give computer systems the ability to "learn with data , without being explicitly programmed Example of Mach ine Learning

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2017 - 2018

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  1. 2017-2018

  2. IntroductiontoMachineLearning Itisalgorithmusedforlearningtodostuff isafieldofcomputersciencethatusesstatisticaltechniquestogivecomputer systemstheabilityto"learnwithdata,withoutbeingexplicitlyprogrammed ExampleofMachineLearning Opticalcharacterrecognition Facedetection Spamfiltering Topicspotting Spokenlanguageunderstanding Medicaldiagnosis Customersegmentation Frauddetection Weatherprediction GoalofMachineLearning Primarygoaldevelopgeneralpurposealgorithmofpracticalvalue Advantageofmachinelearningoverdirectprogramming MLResultmoreaccurate ML:humanexpertguidedbyimpreciseimpression ML:datadriven MachineLearningmodel Itisformallydefinelearningproblem Modelmustberichenoughtocaptureimportantaspectofreallearningproblem Modelmustbesimpleenoughtostudyproblemmathematically ConceptlearningTask Mostgeneralhypothesis(?) Mostspecifichypothesis(ф)

  3. Conceptlearningassearch CLsearchthroughalargespaceofhypothesisimplicitly

  4. VersionSpace Setofallvalidhypothesisprovidebyanalgorithm

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