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DSPA Chapter 20 Prediction and Internal… duration 31 minutes 4 seconds 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 41 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 29th, 2017
DSPA Chapter 18 Big Longitudinal Data Analysis… duration 42 minutes 39 seconds 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 65 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA Chapter 16 (Variable Selection) duration 22 minutes 31 seconds DSPA Chapter 16 (Variable Selection) DSPA Chapter 16 (Variable Selection)	DSPA Chapter 16 (Variable Selection) DSPA Chapter 16 (Variable Selection) As we mentioned in Chapter 15, variable selection is very important when dealing with bioinformatics, healthcare, and biomedical data where we may have more… mathematical sciences statistics health care strategy wilderness movie downloads ratio (mathematics) amyotrophic lateral sclerosis web sites computing performance forests genetic disorders caption 48 complete effects algorithms lou gehrig computer components instructions From Tina Chang 0 likes 35 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date July 1st, 2017
DSPA: Chapter 1 Foundations of R duration 47 minutes 19 seconds 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 695 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017