Hands-On Machine Learning with ML.NET
Machinelearning(ML)iswidelyusedinmanyindustriessuchasscience,healthcare,andresearchanditspopularityisonlygrowing.InMarch2018,MicrosoftintroducedML.NETtohelp.NETenthusiastsinworkingwithML.Withthisbook,you’llexplorehowtobuildML.NETapplicationswiththevariousMLmodelsavailableusingC#code.ThebookstartsbygivingyouanoverviewofMLandthetypesofMLalgorithmsused,alongwithcoveringwhatML.NETisandwhyyouneedittobuildMLapps.You’llthenexploretheML.NETframework,itscomponents,andAPIs.ThebookwillserveasapracticalguidetohelpingyoubuildsmartappsusingtheML.NETlibrary.You’llgraduallybecomewellversedinhowtoimplementMLalgorithmssuchasregression,classification,andclusteringwithreal-worldexamplesanddatasets.Eachchapterwillcoverthepracticalimplementation,showingyouhowtoimplementMLwithin.NETapplications.You’llalsolearntointegrateTensorFlowinML.NETapplications.Lateryou’lldiscoverhowtostoretheregressionmodelhousingpricepredictionresulttothedatabaseanddisplaythereal-timepredictedresultsfromthedatabaseonyourwebapplicationusingASP.NETCoreBlazorandSignalR.Bytheendofthisbook,you’llhavelearnedhowtoconfidentlyperformbasictoadvanced-levelmachinelearningtasksinML.NET.
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