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DSPA Chapter 22 Deep Learning duration 39 minutes 38 seconds DSPA Chapter 22 Deep Learning DSPA Chapter 22 Deep Learning	DSPA Chapter 22 Deep Learning Chapter 22 demonstrates the R deep learning package MXNetR and demonstrate state-of-the-art deep learning models utilizing CPU and GPU for fast training (learning) and testing (validation). examinations +18 More From Tina Chang 0 likes 111 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 21 Function Optimization duration 23 minutes 24 seconds DSPA Chapter 21 Function Optimization DSPA Chapter 21 Function Optimization	DSPA Chapter 21 Function Optimization Chapter 21 covers (1) constrained and unconstrained optimization, (2) Lagrange multipliers, (3) linear, quadratic and (general) non-linear programming, and (4) data denoising. mathematical sciences +12 More From Tina Chang 0 likes 29 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 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 +16 More From Tina Chang 0 likes 36 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 13 Model Evaluation duration 33 minutes 31 seconds DSPA Chapter 13 Model Evaluation DSPA Chapter 13 Model Evaluation	DSPA Chapter 13 Model Evaluation DSPA Chapter 13 Model Evaluation In this chapter, we will discuss (1) various evaluation strategies for prediction, clustering, classification, regression, and decision trees, (2) visualization… examinations +14 More From Tina Chang 0 likes 46 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 14 Improvement of Model Performance duration 20 minutes 33 seconds DSPA Chapter 14 Improvement of Model Performance DSPA Chapter 14 Improvement of Model Performance	DSPA Chapter 14 Improvement of Model Performance DSPA Chapter 14 Improvement of Model Performance We already explored several alternative machine learning (ML) methods for prediction, classification, clustering and outcome forecasting. In many… correspondence +16 More From Tina Chang 0 likes 25 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 8 Decision Tree Classification duration 49 minutes 2 seconds DSPA Chapter 8 Decision Tree Classification DSPA Chapter 8 Decision Tree Classification	DSPA Chapter 8 Decision Tree Classification DSPA Chapter 8 Decision Tree Classification In this chapter, we will (1) see a simple motivational example of decision trees based on the Iris data, (2) describe decision-tree divide and conquer… and disorders +18 More From Tina Chang 0 likes 98 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 +16 More From Tina Chang 0 likes 97 plays 0 Stewardship SOCR Resource, University of Michigan Rights CC-BY Credits SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date August 1st, 2017