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NewsfromTPQ:PythonforFinance2nd,
Certificates,AIinFinanceTheAIMachine
Dr.YvesJ.Hilpisch
PythonforQuantFinanceMeetup
London,21.March2019
Overview
1.Background
2.PythonforFinance
3.Certificates
4.AIinFinance
5.TheAIMachine
Background
Background
—Data-DrivenFinance
Background
—AISuccessStories
“Wepresentthefirstdeeplearningmodeltosuccessfullylearn
controlpoliciesdirectlyfromhigh-dimensionalsensoryinput
usingreinforcementlearning.Themodelisaconvolutional
neuralnetwork,trainedwithavariantofQ-learning,whose
inputisrawpixelsandwhoseoutputisavaluefunction
estimatingfuturerewards.WeapplyourmethodtosevenAtari
2600gamesfromtheArcadeLearningEnvironment,withno
adjustmentofthearchitectureorlearningalgorithm.Wefind
thatitoutperformsallpreviousapproachesonsixofthe
gamesandsurpassesahumanexpertonthreeofthem.”
Mnih,V.(2013):“PlayingAtariwithDeepReinforcement
Learning”./pdf/1312.5602v1.pdf
“Go-playingprogramshavebeenimprovingatarateofabout1
dan/yearinrecentyears.Ifthisrateofimprovementcontinues,
theymightbeatthehumanworldchampioninaboutadecade.”
NickBostrom(2014):Superintelligence.
Background
—AI-FirstFinance
FinancialFinanceAIinFinance
MarketsHistory=finaince
“normativeeconomics=“positiveeconomics=
assumptions,axioms,etc.”data,relationships,etc.”
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