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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).
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
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Chapter 21 covers (1) constrained and unconstrained
optimization, (2) Lagrange multipliers, (3) linear, quadratic and
(general) non-linear programming, and (4) data denoising.
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SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
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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…
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SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
July 1st, 2017
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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 of…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
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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…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
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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…
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SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
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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…
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SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
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