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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 64 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 17 (Regularized Linear Modeling and… duration 48 minutes 40 seconds 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 33 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 5 Dimensionality Reduction duration 50 minutes 23 seconds 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 112 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017
DSPA Chapter 7 Naive Bayes Classification duration 18 minutes 23 seconds 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 92 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017