qadium.com

datamicroscopes.github.io

Clustering the Enron e-mail corpus using the Infinite Relational Model

http://datamicroscopes.github.io/enron_email.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

cltc.berkeley.edu

November 15, 12pm: Marshall Kuypers, Cyber Risk Scientist, Qadium – CLTC

https://cltc.berkeley.edu/2016/11/09/november-15-12pm-marshall-kuypers-cyber-risk-scientist-qadium

News, Events, and Publications. November 9, 2016. November 15, 12pm: Marshall Kuypers, Cyber Risk Scientist, Qadium. Please join us on Nov. 15 at 12pm for a CLTC lunch seminar with Marshall Kuypers, a cyber risk scientist at Qadium. In his talk, Kuypers will discuss insights and applications derived from analyzing data on every publicly accessible device on the Internet. This event, part of the CLTC 2016 Fall Seminar Series. Will be held in South Hall Room 205. On the UC Berkeley campus. March 6, 2017.

datamicroscopes.github.io

Bayesian Nonparametric Topic Modeling with the Daily Kos

http://datamicroscopes.github.io/topic.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

datamicroscopes.github.io

microscopes.common.validator

http://datamicroscopes.github.io/microscopes.common.validator.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

datamicroscopes.github.io

Count Data and Ordinal Data with the Gamma-Poisson Distribution

http://datamicroscopes.github.io/gamma_poisson.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

datamicroscopes.github.io

Discovering structure in your data: an overview of clustering

http://datamicroscopes.github.io/intro.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

datamicroscopes.github.io

API Reference

http://datamicroscopes.github.io/api.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

datamicroscopes.github.io

Real Valued Data and the Normal Inverse-Wishart Distribution

http://datamicroscopes.github.io/niw.html

Discovering structure in your data: an overview of clustering. Finding the number of clusters with the Dirichlet Process. Network Modeling with the Infinite Relational Model. Bayesian Nonparametric Topic Modeling with the Daily Kos. Datatypes and Bayesian Nonparametric Models. Binary Data with the Beta Bernouli Distribution. Categorical Data and the Dirichlet Discrete Distribution. Real Valued Data and the Normal Inverse-Wishart Distribution. Univariate Data with the Normal Inverse Chi-Square Distribution.

cltc.berkeley.edu

Marshall Kuypers Leads CLTC Seminar on “Analyzing Global Internet Data” – CLTC

https://cltc.berkeley.edu/2016/11/21/marshall-kuypers-leads-cltc-seminar-on-analyzing-global-internet-data

News, Events, and Publications. November 21, 2016. Marshall Kuypers Leads CLTC Seminar on “Analyzing Global Internet Data”. On November 15, the Center for Long-Term Cybersecurity hosted a lunch seminar featuring Marshall Kuypers. A cyber risk scientist at Qadium. CISAC), and he has modeled cybersecurity for the Jet Propulsion Lab, developed trading algorithms with a high-frequency trading company in Chicago, and researched superconducting materials at UIUC, among other roles. Overall, these new technique...