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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).
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SOCR Resource, University of Michigan Rights
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SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
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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…
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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 19 Text Mining (TM) and Natural Language Processing (NLP)Natural Language Processing (NLP) and Text Mining (TM) refer to
automated machine-driven algorithms for semantically mapping,…
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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 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…
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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 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, 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.…
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S Creation Date
August 1st, 2017
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DSPA Chapter 9: Regression Classification In previous chapters (6, 7, and 8),
we covered some classification methods that use mathematical formalism
to address everyday life prediction problems.…
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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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