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Page 1: Machine learning Mindmap

MachineLearning

Enterprise

Security/FraudBrightPointSentinelautomatethreatdetectionandriskanalysis

HR/Recruiting

Textioanalyzedjobtextandoutcomesdatausinglistingsfromtensofthousandsofcompanies

hiQPeopleAnalyticshelpsemployeeselection,developmentandretentionbymodelinghistoricaldatatopredictfutureoutcomes

SalesSentientAwareusesvisualsearchtohelpshoppersquicklyfindtheproductstheywanttobuyjustlikeastoreassociate,connectingtherightproductstoeverycustomer

MarketingLiftIgniterimprovesCTR,engagementandconversionbyprovidingpersonalizationusingrecommendationinreal-time

CustomerSupport

Clarabridgecollectscustomerfeedbackfromvarioussourcesandprovideactionableinsights

Quantifindtellswhat'smostimportantindrivingpeopletobuyyourproductsbyintroducingbrandstrategy.Explanatoryanalytics

potentialreplacementforsurvey-basedconsumerresearch,brandhealthstudies,focusgroups,strategicconsultingengagements,etc.

InternalIntel

Usingthecombinationofmachinelearningandcrowdsourcingfromexpertsidentifiedbytheirusageoftables,Alationcentralizestheknowledgeondataandensuresit’salwaysup-to-date

MarketIntelMattermarkminesandcrunchespublicInternetdatatoprovideinvestors,salesteamsandotherswithsearchtoolsandotherbusinessintelligence,

Purpose

IncreaseSalesPerformance

1)Don’tworryifdataisn’t100%accuratetobeginwith.Aslongasit’sdirectionallycorrectitwillstimulatetherightdiscussions.Dataqualitywillimprovenaturallywithuse,feedback,updating,anditerativecleansing.2)Driveexcitementandadoptionbymakingtheapplicationsimpleandengagingforthefield,witheasy-to-understand,interactivevisualizations.3)Integratepredictiveanalyticsintothevisualizationanddiscoveryprocessonaself-servicebasissothatnewinsightsareintuitivelydeliveredastheunderlyingdataandattributeschange.Thiswillkeeptheinsightsfromtheapplicationrelevant.4)Useiterativetechniquestodesignanddeliveraworkingappquicklyandthenadaptitbasedonuserfeedback.5)PartnerwithITthroughthisprocesssothattheusersreceivethedesiredself-serviceandflexibilitywhileleveragingthebusinessintelligenceplatformtomaintaindatagovernance,security,andcontrol

Increasenumberofcustomers

reducingattrition/churnusinghistoricaldataandlookforlikelihoodofchurn

acquiringnewcustomersbyleadscoringandoptimizingmarketingcampaigns

Servecustomerbetter

cross-sellingproducts

optimizingproductsandpricingbymappingproductcharacterizationstono.ofsales

Increasingengagementbyobservingcustomerbehaviorandmappingcustomer-itempairstointerestindicators

Servecustomermoreefficienctly

Predictingdemand.Observehighvariabilityforservices/products

Automatingtaskssuchasscoringcreditapplicationsandinsuranceclaims

Makingenterpriseappspredictiveinprioritizethings,useadaptiveworkflows(routecustomersupportrequeststobestavailableperson),adapttheinterface,setconfigurationsandpreferencesautomatically

FutureApplicationsMedicalimagingsimplechiputilizingcloudcomputinganddeep

learningmodels

BaiduDeepSpeechtranscribevoicequeriesinMandarin

PracticalApplications

ShoppingRecommendationbettersalesautomation,leadgeneration,efficientmarketing,predictivehiring,algorithmictrading

ChurnPrediction

Facetagging

SentimentAnalysisUnderstandemotionsregardlessoflanguagewritten

Youtubeusesadeepneuralnetworkmodeltogeneratehigher-qualitythumbnailsforvideos

Skypereal-timetranslation

Videomonitoringtoidentifyinterestingobjectssuchasdogsandtrucks

GoogleTranslate,Voice,Photos.Googledriverlesscarpredictappropriatedrivingactions

Numenta'sGrokpredictfutureenergyrequirementsandprices

LinkedInpredictswhoyouwanttoconnectwith

Keywords

Machineonlyunderstandnumbers.Itstartswithobviousthingsandextendstosubtlethings

FeatureengineeringFindingconnectionsbetweenvariablesandpackingthemintoanewdiscreetvariable

ThePowertoPredictWhoWillClick,Buy,Lie,orDie.[PredictiveAnalyticsis)technologythatlearnsfromexperience[i.e.data]topredictthefuturebehaviorofindividualsinordertodrivebetterdecisions

Pairinghumanworkerswithmachinelearningandautomationwilltransformknowledgeworkandunleashnewlevelsofhumanproductivityandcreativity

LearningParadigms

LearningResourcesDeeplearning

firstcommercial-grade,open-source,distributeddeep-learninglibrarywrittenforJavaandScala

IntegratedwithHadoopandSpark,Deeplearning4jisdesignedforbusinessenvironmentsandincludesadistributedmultithreadeddeep-learningframeworkandasingle-threadeddeep-learningframework

Definition

computerslearningtopredictfromdata learningimpliesimprovementthroughgainingexperienceorknowledge

A(machinelearning)computerprogramissaidtolearnfromexperienceEwithrespecttosomeclassoftasksTandperformancemeasureP,ifitsperformanceattasksinT,asmeasuredbyP,improveswithexperienceE.(TomMitchell)

Applications

NaturalLangaugeProcessing deepLSTM(longshort-termmemory)

SyntacticPatternRecognition

SearchEnginesfromlexicalmatching(matchingterms)tolatentsemanticanalysis(semanticmatching)todeepneuralnetworktoextracthigh-levelsemanticrepresentations

MedicalDiagonsis

DetectionCreditCardfraud

StockMarketAnalysis

ClassifyingDNASequence

Speech&handwritingsequences

ObjectRecognitioninComputerVision

GamePlaying

RobotLocomotion

MultimediaSignalProcessingImage

SpeechandAudio

WhyM.L? becauseweneedtomakemachines....

thinklikehumans

noticesimilartiesbetwenthingsandgeneratenewideas

learnfrommistakes

giveexplanationwhythingswentwrong

Solveproblemsdifficultorimpossibleforhumantosolve problems

Phenomenaarechangingrapidly

Applicationneedtobecustomizedforeachuserseparately

Nohumanexperts

expertsunabletoexplainthierexperience

SAPHANA

anin-memoryplatformthatrunsanalyticsapplicationssmarter,businessprocessesfaster,anddatainfrastructuressimpler

PredictiveAnalysisLibrary(PAL)

Association

Classification Topredictabinaryanswer–i.e.Isthistransactionfraudulentornot?

RegressionTopredictorscoreanamountthatisanon-binaryvalue-i.e.Determiningtheinsuranceriskfactorthisthisdriver

Cluster

Tofindgroupsinyourdataset–i.e.Whoareallthepeoplelikelytobuymyproducttoday?

Topredictfuturevaluesbasedonpreviouslyobservedvalues–Howlikelyareflightcancellationsinwintervs.summermonths?

TimeSeries

Probability

Outlier

AutomatedPredictiveLibrary(APL)

customers,developers,andpartnersdonotneedtobedatascientiststousetheSAPAPL–theysimplyneedtofeedtheAPLwhattheyhaveandtellitwhattheyneed.

Classification,Regression,Clustering,TImeSeries,KeyInfluencers

SAPLumiraanagiledatadiscoverytooldesignedtoexpeditedatapreparationandenabledatatobepresentedinavisual,easilydigestibleform

DeepLearning

Definition

DeepLearningisanalgorithmwhichhasnotheoreticallimitationsofwhatitcanlearn;themoredatayougiveandthemorecomputationaltimeyouprovide,thebetteritis.(GeoffreyHinton)

Domains

ImageFaces

Machinevision

SoundSpeechtotext

Machinetranslation

TextSearch

Informationretrieval

TimeSeries

Weather

Biodata

Stocks

Why

CIOlookingforhighestperformanceinML

Advancethestateoftheartinpatternrecognitionandnaturallanguageprocessing

attemptstomodelhigh-levelabstractionsindata

Differences

"Normal"neuralnetworksusuallyhaveonetotwohiddenlayersandareusedforSUPERVISEDpredictionorclassification.

SVMsaretypicallyusedforbinaryclassification,butoccasionallyforotherSUPERVISEDlearningtasks.

Deeplearningneuralnetworkarchitecturesdifferfrom"normal"neuralnetworksbecausetheyhavemorehiddenlayers.Deeplearningnetworksdifferfrom"normal"neuralnetworksandSVMsbecausetheycanbetrainedinanUNSUPERVISEDorSUPERVISEDmannerforbothUNSUPERVISEDandSUPERVISEDlearningtasks

DataScientistseektoprocesshugeamountofunstructureddata

Algorithms

DeepBoltzmanMachine(DBM)

DeepBeliefNetwork(DBN)

ConvolutionalNeuralNetworks

StackedAutoEncoders

HierarachicalTemporalMemory

Page 2: Machine learning Mindmap

Enterprisehttps://www.oreilly.com/ideas/the-current-state-of-machine-intelligence-2-0

BrightPointSentinelautomatethreatdetectionandriskanalysishttps://www.brightpointsecurity.com/products/products-overview/

Textioanalyzedjobtextandoutcomesdatausinglistingsfromtensofthousandsofcompanieshttps://textio.com/products/

hiQPeopleAnalyticshelpsemployeeselection,developmentandretentionbymodelinghistoricaldatatopredictfutureoutcomeshttps://www.hiqlabs.com/

Page 3: Machine learning Mindmap

SentientAwareusesvisualsearchtohelpshoppersquicklyfindtheproductstheywanttobuyjustlikeastoreassociate,connectingtherightproductstoeverycustomerhttp://www.sentient.ai/aware/

LiftIgniterimprovesCTR,engagementandconversionbyprovidingpersonalizationusingrecommendationinreal-timehttp://www.liftigniter.com/

Clarabridgecollectscustomerfeedbackfromvarioussourcesandprovideactionableinsightshttp://www.clarabridge.com/product/

Quantifindtellswhat'smostimportantindrivingpeopletobuy

Page 4: Machine learning Mindmap

Quantifindtellswhat'smostimportantindrivingpeopletobuyyourproductsbyintroducingbrandstrategy.Explanatoryanalyticshttp://quantifind.com/solutions/

Usingthecombinationofmachinelearningandcrowdsourcingfromexpertsidentifiedbytheirusageoftables,Alationcentralizestheknowledgeondataandensuresit’salwaysup-to-datehttps://alation.com/why-alation/

MattermarkminesandcrunchespublicInternetdatatoprovideinvestors,salesteamsandotherswithsearchtoolsandotherbusinessintelligence,https://mattermark.com/

IncreaseSalesPerformance

Page 5: Machine learning Mindmap

IncreaseSalesPerformancehttp://blog-sap.com/analytics/2015/11/23/delivering-superior-sales-performance-with-predictive-analytics/

Increasenumberofcustomershttp://www.louisdorard.com/blog/data-science-business

Numenta'sGrokpredictfutureenergyrequirementsandpriceshttps://gigaom.com/2014/09/24/the-gigaom-interview-jeff-hawkins-on-why-his-approach-to-ai-will-become-the-approach-to-ai/

DeepLearninghttps://www.mindmeister.com/690844333#

Differenceshttps://www.quora.com/How-does-deep-learning-work-and-how-is-it-different-from-normal-neural-networks-and-or-SVM

Regression

Page 6: Machine learning Mindmap

Regressionstatisticalprocessforestimatingtherelationshipsamongvariables

AutomatedPredictiveLibrary(APL)http://scn.sap.com/community/predictive-analytics/blog/2015/03/02/what-is-the-sap-automated-predictive-library-apl-for-sap-hana

SAPLumirahttp://saplumira.com

computerslearningtopredictfromdatahttps://blog.prediction.io/machine-learning/#.Vx9DPfl97IW