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Machine Learning: Power of Ensembles

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Machine Learning: Power of Ensembles
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167
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169
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Bargava Subramanian - Machine Learning: Power of Ensembles In Machine Learning, the power of combining many models have proven to successfully provide better results than single models. The primary goal of the talk is to answer the following questions: 1) Why and How ensembles produce better output? 2) When data scales, what's the impact? What are the trade-offs to consider? 3) Can ensemble models eliminate expert domain knowledge? ----- It is relatively easy to build a first-cut machine learning model. But what does it take to build a reasonably good model, or even a state- of-art model ? Ensemble models. They are our best friends. They help us exploit the power of computing. Ensemble methods aren't new. They form the basis for some extremely powerful machine learning algorithms like random forests and gradient boosting machines. The key point about ensemble is that consensus from diverse models are more reliable than a single source. This talk will cover how we can combine model outputs from various base models(logistic regression, support vector machines, decision trees, neural networks, etc) to create a stronger/better model output. This talk will cover various strategies to create ensemble models. Using third-party Python libraries along with scikit-learn, this talk will demonstrate the following ensemble methodologies: 1) Bagging 2) Boosting 3) Stacking Real-life examples from the enterprise world will be show-cased where ensemble models produced better results consistently when compared against single best-performing models. There will also be emphasis on the following: Feature engineering, model selection, importance of bias-variance and generalization. Creating better models is the critical component of building a good data science product.
Red HatDemonMathematical modelMusical ensembleLecture/Conference
Power (physics)Musical ensembleMusical ensembleMathematical modelMathematical modelLecture/ConferenceJSONXMLUML
Mathematical modelMusical ensembleControl flowMeeting/Interview
Network topologyNumberPoint (geometry)Coefficient of determinationMultiplication signNetwork topologyComputer animation
Domain nameMathematical modelMusical ensembleComputer animation
Mathematical modelDomain nameMeeting/Interview
Process (computing)Machine learningMathematical modelPredictabilityAlgorithmProcess (computing)Machine learningoutputJSONXMLComputer animation
Mathematical modeloutputForm (programming)Mathematical modelFile formatLecture/ConferenceMeeting/Interview
Mathematical modelMathematical model
Machine learningProcess (computing)Musical ensembleMathematical modelDistribution (mathematics)Linear regressionRandomizationForestNetwork topologyMathematical modelDifferent (Kate Ryan album)Decision theoryLinearizationGradientLogistic distribution
Whiston, WilliamMathematical modelVirtual machineVector spaceSelectivity (electronic)Support vector machineLecture/ConferenceMeeting/Interview
Mathematical modelProcess (computing)outputMathematical modelMathematical modelJSON
System identificationMultiplication signTransformation (genetics)JSONComputer animation
Process (computing)Multiplication signMeeting/Interview
Mathematical modelDifferent (Kate Ryan album)PredictionSolution setMathematical modelDifferent (Kate Ryan album)SpacetimePredictabilityDialectJSONXML
Mathematical modelAlgorithmDifferent (Kate Ryan album)DialectSpacetimeCategory of beingJSONComputer animation
NumberParameter (computer programming)Mathematical modelMathematical modelMathematical modelParameter (computer programming)Set (mathematics)Different (Kate Ryan album)Meeting/InterviewJSONXMLComputer animation
Feasibility studyMusical ensembleMathematical modelMathematical modelLogistic distributionLinear regressionSet (mathematics)Mathematical modelDifferent (Kate Ryan album)Mathematical modelPotenz <Mathematik>Linear regressionCombinational logicStrategy gameMusical ensembleNatural numberRevision controlGradientLogistic distributionRandomizationForestComputer animation
Mathematical modelBuildingMusical ensembleForestRandom numberWave packetParameter (computer programming)Matrix (mathematics)GradientLinear regressionLogistic distributionForestMathematical modelGradientLogistic distributionLinear regressionMeeting/InterviewComputer animation
Mathematical modelParameter (computer programming)Wave packetMatrix (mathematics)GradientRandom numberForestLinear regressionCondition numberLinear regressionGradientMathematical modelPredictabilityInsertion lossPoint (geometry)Software testingSet (mathematics)Library (computing)
Random numberGradientForestMusical ensembleFunction (mathematics)Symmetric matrixMathematical modelCross-validation (statistics)Information securityMaxima and minimaCountingNumberRow (database)Function (mathematics)Meeting/InterviewTable
Musical ensembleRandom numberGradientForestFunction (mathematics)BefehlsprozessorProxy serverFunction (mathematics)Mathematical modelMaxima and minimaAverageBefehlsprozessorProxy serverMeeting/InterviewComputer animationTable
AlgorithmSolution setProxy serverMathematical modelStrategy gameMusical ensembleMathematical modelSpacetimeLecture/ConferenceMeeting/InterviewComputer animation
Musical ensembleMathematical modelVirtual machineForestMultiplication signGradientRandomizationPower (physics)Level (video gaming)JSONComputer animation
Mathematical modelMultiplication signMusical ensembleProduct (business)Mathematical modelCodecLecture/ConferenceMeeting/Interview
Mathematical modelMathematical modelLogicMusical ensemblePredictionoutputMathematical modelDifferent (Kate Ryan album)Computer architectureMusical ensembleMathematical modeloutputPredictabilityLogicXMLProgram flowchart
Parallel computingMathematical modelMusical ensembleParameter (computer programming)Different (Kate Ryan album)HypercubeSet (mathematics)AlgorithmSampling (music)Musical ensembleDifferent (Kate Ryan album)Function (mathematics)Mathematical modelMathematical modelWave packetMultiplication signVarianceParalleler AlgorithmusComputer animation
Different (Kate Ryan album)HypercubeParameter (computer programming)Set (mathematics)AlgorithmSampling (music)Mathematical modelAverageVotingNumberWave packetState observerSampling (statistics)Set (mathematics)DialectVotingMathematical modelForestSocial classFunction (mathematics)Stack (abstract data type)AlgorithmParameter (computer programming)Different (Kate Ryan album)Artificial neural networkLinear regressionCombinational logicAdditionWater vaporMeeting/InterviewComputer animation
Function (mathematics)DiagramLevel (video gaming)Mathematical modeloutputCapability Maturity ModelMathematical modelAreaMereologyFunction (mathematics)Heegaard splittingDiagramProgram flowchart
Library (computing)Mathematical modelMathematical modelLogistic distributionLinear regressionMathematical optimizationPredictabilityGradientAverageHypercubeRandomizationCross-validation (statistics)WeightCondition numberFood energyDifferent (Kate Ryan album)PlanningSet (mathematics)Program flowchart
StatisticsParameter (computer programming)Sample (statistics)Distribution (mathematics)Dimensional analysisMathematical optimizationSerial portParalleler AlgorithmusLibrary (computing)Coma BerenicesFunction (mathematics)Pattern languageMathematical modelParalleler AlgorithmusMathematical optimizationCross-validation (statistics)Mathematical modelProcess (computing)Task (computing)MereologySpacetimeCoroutineLecture/ConferenceMeeting/InterviewComputer animation
Musical ensembleComa BerenicesMetropolitan area networkMathematical modelWechselseitige InformationMathematical modelMultiplication signLevel (video gaming)Mathematical modelVideo gameMusical ensembleCombinational logicInterpreter (computing)Real numberBuildingWebsiteMetric systemResultantDifferent (Kate Ryan album)VotingMixture modelMetrologieCore dumpQuicksortSpectrum (functional analysis)Lecture/ConferenceMeeting/InterviewComputer animation
DistanceSlide ruleArmLaptopLecture/ConferenceMeeting/Interview
Musical ensembleComa BerenicesWechselseitige InformationLaptopLecture/ConferenceMeeting/InterviewComputer animation
3 (number)DemonComputer animation
Transcript: English(auto-generated)