Machine learning Mindmap
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Machine Learning Enterprise Security/Fraud BrightPoint Sentinel automate threat detection and risk analysis HR/Recruiting Textio analyzed job text and outcomes data using listings from tens of thousands of companies hiQ People Analytics helps employee selection, development and retention by modeling historical data to predict future outcomes Sales Sentient Aware uses visual search to help shoppers quickly find the products they want to buy just like a store associate, connecting the right products to every customer Marketing LiftIgniter improves CTR, engagement and conversion by providing personalization using recommendation in real-time Customer Support Clarabridge collects customer feedback from various sources and provide actionable insights Quantifind tells what's most important in driving people to buy your products by introducing brand strategy. Explanatory analytics potential replacement for survey-based consumer research, brand health studies, focus groups, strategic consulting engagements, etc. Internal Intel Using the combination of machine learning and crowdsourcing from experts identified by their usage of tables, Alation centralizes the knowledge on data and ensures it’s always up-to-date Market Intel Mattermark mines and crunches public Internet data to provide investors, sales teams and others with search tools and other business intelligence, Purpose Increase Sales Performance 1) Don’t worry if data isn’t 100% accurate to begin with. As long as it’s directionally correct it will stimulate the right discussions. Data quality will improve naturally with use, feedback, updating, and iterative cleansing. 2) Drive excitement and adoption by making the application simple and engaging for the field, with easy-to-understand, interactive visualizations. 3) Integrate predictive analytics into the visualization and discovery process on a self-service basis so that new insights are intuitively delivered as the underlying data and attributes change. This will keep the insights from the application relevant. 4) Use iterative techniques to design and deliver a working app quickly and then adapt it based on user feedback. 5) Partner with IT through this process so that the users receive the desired self-service and flexibility while leveraging the business intelligence platform to maintain data governance, security, and control Increase number of customers reducing attrition/churn using historical data and look for likelihood of churn acquiring new customers by lead scoring and optimizing marketing campaigns Serve customer better cross-selling products optimizing products and pricing by mapping product characterizations to no. of sales Increasing engagement by observing customer behavior and mapping customer-item pairs to interest indicators Serve customer more efficienctly Predicting demand. Observe high variability for services/products Automating tasks such as scoring credit applications and insurance claims Making enterprise apps predictive in prioritize things, use adaptive workflows (route customer support requests to best available person), adapt the interface, set configurations and preferences automatically Future Applications Medical imaging simple chip utilizing cloud computing and deep learning models Baidu Deep Speech transcribe voice queries in Mandarin Practical Applications Shopping Recommendation better sales automation, lead generation, efficient marketing, predictive hiring, algorithmic trading Churn Prediction Face tagging Sentiment Analysis Understand emotions regardless of language written Youtube uses a deep neural network model to generate higher-quality thumbnails for videos Skype real-time translation Video monitoring to identify interesting objects such as dogs and trucks Google Translate, Voice, Photos. Google driverless car predict appropriate driving actions Numenta's Grok predict future energy requirements and prices LinkedIn predicts who you want to connect with Keywords Machine only understand numbers. It starts with obvious things and extends to subtle things Feature engineering Finding connections between variables and packing them into a new discreet variable The Power to Predict Who Will Click, Buy, Lie, or Die. [Predictive Analytics is) technology that learns from experience [i.e. data] to predict the future behavior of individuals in order to drive better decisions Pairing human workers with machine learning and automation will transform knowledge work and unleash new levels of human productivity and creativity Learning Paradigms Learning Resources Deeplearning first commercial-grade, open-source, distributed deep-learning library written for Java and Scala Integrated with Hadoop and Spark, Deeplearning4j is designed for business environments and includes a distributed multithreaded deep-learning framework and a single-threaded deep-learning framework Definition computers learning to predict from data learning implies improvement through gaining experience or knowledge A (machine learning) computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E. (Tom Mitchell) Applications Natural Langauge Processing deep LSTM (long short-term memory) Syntactic Pattern Recognition Search Engines from lexical matching (matching terms) to latent semantic analysis (semantic matching) to deep neural network to extract high-level semantic representations Medical Diagonsis Detection Credit Card fraud Stock Market Analysis Classifying DNA Sequence Speech & handwriting sequences Object Recognition in Computer Vision Game Playing Robot Locomotion Multimedia Signal Processing Image Speech and Audio Why M.L ? because we need to make machines .... think like humans notice similarties betwen things and generate new ideas learn from mistakes give explanation why things went wrong Solve problems difficult or impossible for human to solve problems Phenomena are changing rapidly Application need to be customized for each user separately No human experts experts unable to explain thier experience SAP HANA an in-memory platform that runs analytics applications smarter, business processes faster, and data infrastructures simpler Predictive Analysis Library (PAL) Association Classification To predict a binary answer – i.e. Is this transaction fraudulent or not? Regression To predict or score an amount that is a non-binary value - i.e. Determining the insurance risk factor this this driver Cluster To find groups in your dataset – i.e. Who are all the people likely to buy my product today? To predict future values based on previously observed values – How likely are flight cancellations in winter vs. summer months? Time Series Probability Outlier Automated Predictive Library (APL) customers, developers, and partners do not need to be data scientists to use the SAP APL – they simply need to feed the APL what they have and tell it what they need. Classification, Regression, Clustering, TIme Series, Key Influencers SAP Lumira an agile data discovery tool designed to expedite data preparation and enable data to be presented in a visual, easily digestible form Deep Learning Definition Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you provide, the better it is. (Geoffrey Hinton) Domains Image Faces Machine vision Sound Speech to text Machine translation Text Search Information retrieval Time Series Weather Biodata Stocks Why CIO looking for highest performance in ML Advance the state of the art in pattern recognition and natural language processing attempts to model high-level abstractions in data Differences "Normal" neural networks usually have one to two hidden layers and are used for SUPERVISED prediction or classification. SVMs are typically used for binary classification, but occasionally for other SUPERVISED learning tasks. Deep learning neural network architectures differ from "normal" neural networks because they have more hidden layers. Deep learning networks differ from "normal" neural networks and SVMs because they can be trained in an UNSUPERVISED or SUPERVISED manner for both UNSUPERVISED and SUPERVISED learning tasks Data Scientist seek to process huge amount of unstructured data Algorithms Deep Boltzman Machine (DBM) Deep Belief Network (DBN) Convolutional Neural Networks Stacked Auto Encoders Hierarachical Temporal Memory
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Transcript of 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
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/
SentientAwareusesvisualsearchtohelpshoppersquicklyfindtheproductstheywanttobuyjustlikeastoreassociate,connectingtherightproductstoeverycustomerhttp://www.sentient.ai/aware/
LiftIgniterimprovesCTR,engagementandconversionbyprovidingpersonalizationusingrecommendationinreal-timehttp://www.liftigniter.com/
Clarabridgecollectscustomerfeedbackfromvarioussourcesandprovideactionableinsightshttp://www.clarabridge.com/product/
Quantifindtellswhat'smostimportantindrivingpeopletobuy
Quantifindtellswhat'smostimportantindrivingpeopletobuyyourproductsbyintroducingbrandstrategy.Explanatoryanalyticshttp://quantifind.com/solutions/
Usingthecombinationofmachinelearningandcrowdsourcingfromexpertsidentifiedbytheirusageoftables,Alationcentralizestheknowledgeondataandensuresit’salwaysup-to-datehttps://alation.com/why-alation/
MattermarkminesandcrunchespublicInternetdatatoprovideinvestors,salesteamsandotherswithsearchtoolsandotherbusinessintelligence,https://mattermark.com/
IncreaseSalesPerformance
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
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
![[MindMap]Software Patterns](https://static.fdocuments.us/doc/165x107/5495be79b47959474d8b4de6/mindmapsoftware-patterns.jpg)
