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Youwereinformedthat BrightYellowMangoesareSweeterthanPaleYellowMangoes
HowwillYouchoosethebestmangoes?
SWEETER
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LookformorethanJustColours
Always
Sweet
Sweet only
Half of the Time
Afteralotofponderingandtastingdifferenttypesofmangoes,youconcludedthatthebiggerandbrightyellowmangoes
areguaranteedtobesweet,whilethesmaller,brightyellowmangoesaresweetonlyhalfthetime.
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YourFavouriteVendorisOutofTown
Always Sweet Half of the Time
SWEETER
Youmadeanotherobservation,hereatthisnewvendor,that“Softmangoesarethejuiciest”
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AlltheknowledgeaboutmangoesisWorthless
Ifyouwanttobuyoranges,youcan’tusetheknowledgeofMangoesandapplyittothem.
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{
if (Colour == bright yellow) & (size == big) => Mango is sweet
If (Texture == soft) => mango is juicy
}
Whatifyouhavetowriteacodeforit?
• ModifyListManually
• UnderstandtheDifferent Factors
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MACHINE LEARNING LEARN FROM
EXAMPLE & EXPERIENCE
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Itusesthedatatodetectpatternsinadatasetandadjustprogramactionsaccordinglyandfocusesonthedevelopment
ofcomputerprogramsthatcanteachthemselvestogrowandchangewhenexposedtonewdata.Itenablescomputers
tofindhiddeninsightsusingiterativealgorithmswithoutbeingexplicitlyprogrammed
MACHINELEARNINGFEATURES
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DETECTSPATTERNS GROW&CHANGE HIDDENINSIGHTS
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MachineLearningplaysanimportantroleinourdaytodayLifeaswell.
AllthewayfromGooglemapstoVirtualPersonalVoiceAssistantsinyourphone.
APPLICATIONSOFML
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GOOGLEMAPS PRODUCTSRECOMMENDATION SELFDRIVINGCARS
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Step 1 Step 2 Step 3 Step 4 Step 5 Step 6
Collecting Data
Data Wrangling
Analyse Data
Train Algorithm
Test Algorithm
Deployment
MACHINELEARNINGSTEPS
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SUPERVISED
LEARNING
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Y = f(X)
INPUT
OUTPUT
SUPERVISED
LEARNING
EXAMPLES
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UNSUPERVISED
LEARNING
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UNSUPERVISED
LEARNING
EXAMPLES
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UNSUPERVISED
LEARNING
EXAMPLES
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REINFORCEMENT
LEARNING
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REINFORCEMENT
LEARNING
EXAMPLE
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Scenario - 1
REINFORCEMENT
LEARNING
EXAMPLE
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Scenario - 1
REINFORCEMENT
LEARNING
EXAMPLE
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Scenario - 2
REINFORCEMENT
LEARNING
EXAMPLE
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YouTube Video Link in the Description
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What Is Machine Learning? | Machine Learning Basics | Edureka