|
Remarks from Karyn Temple, Register of Copyrights at the University of Michigan Library on February 22, 2019.
Stewardship
Justin Bonfiglio Rights
Justin Bonfiglio Credits
Justin Bonfiglio Creation Date
February 22nd, 2019
|
|
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
|
|
Chapter 21 covers (1) constrained and unconstrained
optimization, (2) Lagrange multipliers, (3) linear, quadratic and
(general) non-linear programming, and (4) data denoising.
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 29th, 2017
|
|
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
|
|
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,…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
July 1st, 2017
|
|
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, dynamic…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
July 1st, 2017
|
|
DSPA Chapter 16 (Variable Selection) As we mentioned in Chapter 15,
variable selection is very important when dealing with bioinformatics,
healthcare, and biomedical data where we may have more…
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 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
|
|
DSPA Chapter 4 Linear Algebra and Matrix Computing Linear algebra is a branch of mathematics that studies linear
associations using vectors, vector-spaces, linear equations, linear
transformations…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
DSPA Chapter 15 Specialized ML Techniques In this chapter, we will discuss some technical details about data
formats, streaming, optimization of computation, and distributed
deployment of…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
DSPA Chapter 12: k-Means Clustering In this chapter, we will present (1) clustering as a machine learning task, (2) the silhouette plots for classification evaluation, (3) the k-Means
clustering…
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 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
|
|
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…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
DSPA Chapter 5 Dimensionality Reduction Dimensionality reduction techniques enable exploratory data analyses
by reducing the complexity of the dataset, still approximately
preserving important…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
DSPA Chapter 10 SVM Classification In this chapter, we are going to cover two very powerful
machine-learning algorithms. These techniques have complex mathematical
formulations, however, efficient…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
DSPA Chapter 11 Apriori Association Rule Learning HTTP cookies are
used to track web-surfing the Internet traffic. We often notice that
promotions (ads) on websites tend to match our needs, reveal…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
DSPA Chapter 3 Data Visualization In this chapter, we use a broad range of simulations and hands-on
activities to highlight some of the basic data visualization techniques
using R. A brief…
Stewardship
SOCR Resource, University of Michigan Rights
CC-BY Credits
SOCR, MIDAS, HBBS, DCMB, University of Michigan Creation Date
August 1st, 2017
|
|
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
|
|
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.…
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 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
|