Transcription of Machine Learning for Predictive Modelling - …
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Machine Learning for Predictive Modelling - …
1 2015 The MathWorks, Learning for Predictive ModellingRory Adams2 Machine Learning What is Machine Learning and why do we need it? Common challenges in Machine Learning Example: Human activity Learning using mobile phone data Example: Real-time object identification using images Example: Load forecasting using weather data Summary & Key TakeawaysAgenda3 Machine Learning is Everywhere Image Recognition Speech Recognition Stock Prediction Medical Diagnosis Data Analytics Robotics and [TBD]4 Machine LearningMachine Learning uses dataand produces a model to perform a taskStandard ApproachMachine Learning Approach = < >( _ , )ComputerProgramMachineLearning :Inputs OutputsHandWritten ProgramFormula or EquationIf X_acc> SITTING If Y_acc< 4 and Z_acc> 5then STANDING .. = 1 + 2 + 3 +..Task:Human Activity Detection :Predictors Response5 Different Types of LearningMachine LearningSupervised LearningClassificationRegressionUnsuperv ised Learning Discover a good internal representation Learn a low dimensional representation Response is a continuous number (temperature, stock prices).
2 Machine Learning –What is Machine Learning and why do we need it? –Common challenges in Machine Learning Example: Human …
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