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31:04 DSPA Chapter 20 Prediction and Internal… DSPA Chapter 20 Prediction and Internal Statistical Cross-validation	DSPA Chapter 20 Prediction and Internal Statistical Cross-validation Chapter 20 uses Google Flu Trends, Autism, and Parkinson’s disease case-studies to illustrate (1) alternative forecasting types using linear and non-linear predictions, (2) exhaustive and… examinations statistics predictive analytics biological neural network analytics flu and influenza dspa elections business analytics educational assessment and evaluation caption 48 complete effects artificial neural network courses (education) machine learning parkinson's disease computer components artificial intelligence cross validation From Tina Chang 0 likes 40 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
42:39 DSPA Chapter 18 Big Longitudinal Data Analysis… DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)	DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM) DSPA Chapter 18 Big Longitudinal Data Analysis (Timeseries GEE GLMM SEM)The time-varying (longitudinal) characteristics of large information flows represent a special case of the complexity,… mathematical sciences statistics predictive analytics earnings forecast financial charts time series analyses wholesale of stationery products and office supplies business analytics analytics business intelligence caption 48 complete effects graph (mathematics) peking (beijing) parkinson's disease technical analysis (finance) moving average From Tina Chang 0 likes 56 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
48:40 DSPA Chapter 17 (Regularized Linear Modeling and… DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection)	DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) DSPA Chapter 17 (Regularized Linear Modeling and Controlled Variable Selection) Classical techniques for choosing important covariates to include in a model of complex multivariate data relied on… examinations health care strategy ratio (mathematics) analytics heart transplants data science surgeons business analytics educational assessment and evaluation caption 48 complete effects mathematics predictive analytics parkinson's disease it optimization staff training probability calculus From Tina Chang 0 likes 30 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
50:23 DSPA Chapter 5 Dimensionality Reduction DSPA Chapter 5 Dimensionality Reduction	DSPA Chapter 5 Dimensionality Reduction DSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses by reducing the complexity of the dataset, still approximately preserving important… mathematics equation (math) simulating business computers algebra (mathematics) functions and mappings business analytics analytics caption 48 complete effects pregnancy with multiple embryos twins courses (education) parkinson's disease computer components ratio (mathematics) From Tina Chang 0 likes 108 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
28:47 DSPA Chapter 9: Regression Classification DSPA Chapter 9: Regression Classification	DSPA Chapter 9: Regression Classification DSPA Chapter 9: Regression Classification In previous chapters (6, 7, and 8), we covered some classification methods that use mathematical formalism to address everyday life prediction problems.… mathematical sciences error (band) equation (math) support vector machine data visualization algebra (mathematics) studying examinations computation (information technology) functions and mappings business intelligence caption 48 complete effects mathematics baseball hospitals & clinics computing performance From Tina Chang 0 likes 86 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
18:23 DSPA Chapter 7 Naive Bayes Classification DSPA Chapter 7 Naive Bayes Classification	DSPA Chapter 7 Naive Bayes Classification DSPA Chapter 7 Naive Bayes Classification Please review the introduction to Chapter 6, where we described the types of machine learning methods and presented lazy classification for numerical… mathematical sciences linguistics examinations data classification mathematics business intelligence language technology thomas bayes educational assessment and evaluation mathematicians text corpus caption 48 complete effects databases algorithms business analytics probability calculus From Tina Chang 0 likes 86 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
47:19 DSPA: Chapter 1 Foundations of R DSPA: Chapter 1 Foundations of R	DSPA: Chapter 1 Foundations of R DSPA: Chapter 1 Foundations of R This chapter introduces the foundations of R programming for visualization, statistical computing and scientific inference. Specifically, in this chapter we will… architectural elements building elements statistics simulating mpaa film ratings r (mpaa) column (building) manipulation of people business caption 48 complete effects graphical user interface movie content ratings courses (education) it optimization sas drive software From Ivo Dinov 0 likes 662 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017