Hands-On Explainable AI（XAI） with Python
EffectivelytranslatingAIinsightstobusinessstakeholdersrequirescarefulplanning,design,andvisualizationchoices.Describingtheproblem,themodel,andtherelationshipsamongvariablesandtheirfindingsareoftensubtle,surprising,andtechnicallycomplex.Hands-OnExplainableAI(XAI)withPythonwillseeyouworkwithspecifichands-onmachinelearningPythonprojectsthatarestrategicallyarrangedtoenhanceyourgrasponAIresultsanalysis.Youwillbebuildingmodels,interpretingresultswithvisualizations,andintegratingXAIreportingtoolsanddifferentapplications.YouwillbuildXAIsolutionsinPython,TensorFlow2,GoogleCloud’sXAIplatform,GoogleColaboratory,andotherframeworkstoopenuptheblackboxofmachinelearningmodels.Thebookwillintroduceyoutoseveralopen-sourceXAItoolsforPythonthatcanbeusedthroughoutthemachinelearningprojectlifecycle.Youwilllearnhowtoexploremachinelearningmodelresults,reviewkeyinfluencingvariablesandvariablerelationships,detectandhandlebiasandethicsissues,andintegratepredictionsusingPythonalongwithsupportingthevisualizationofmachinelearningmodelsintouserexplainableinterfaces.BytheendofthisAIbook,youwillpossessanin-depthunderstandingofthecoreconceptsofXAI.
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