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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…
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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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…
Stewardship
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 6: k-Nearest Neighbors Classification In the next several chapters we will concentrate of various
progressively advanced machine learning, classificaiton and clustering
techniques.…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
S 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…
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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