2 votes
1796 reads

Interesting talk on "Introduction to Machine Learning"

"Over the past few decades, the field of Machine Learning has matured significantly, drawing ideas from several disciplines including Statistics, Optimization, and Artificial Intelligence. Applications of Machine Learning have led to important advances in a wide variety of domains ranging from Internet applications to scientific problems. This talk will give a gentle tutorial introduction to Machine Learning with broad overview on four families of models and methods: predictive models, graphical models, online learning, and exploratory data analysis.

4 votes
1516 reads

"Matters of scale, and why they matter"

This is a very interesting read on NASA Climate Change on how to visualize data in away that is not only easy to understand and interpret, but also stays true scientifically. The article shows the visualization of satellite measurements of NO2 over the atmosphere of Indian Ocean.

1 vote
2284 reads

Genotype Imputation via Matrix Completion

E. Chi et al recently published a very interesting paper describing an efficient genotype imputation method based on matrix completion. The paper published in Genome Research in Dec 2012.

5 votes
1644 reads

"Big Data: A Revolution That Will Transform How We Live, Work, and Think"

Listen to this very interesting story on NPR regarding a book on what "Big Data" can do to our lives, works and behaviors.

7 votes
3857 reads

Gaussian Process Tutorial - Carl Edward Rasmussen

Carl Edward Rasmussen, Computational and Biological Learning Lab in University of Cambridge, has co-authored a book with Chris Williams, entitled Gaussian Processes for Machine Learning, MIT Press, 2006, Read more

8 votes
1865 reads

Dirichlet Distribution - Quick Review

Dirichlet distribution: 

4 votes
1333 reads

Obama Seeking to Boost Study of Human Brain

"The Obama administration is planning a decade-long scientific effort to examine the human brain and build a broad map of its activity. The project could develop the technology essential to understanding diseases like Alzheimer's and Parkinson's, and find new therapies for a variety of mental illnesses." And it means lots of opportunities for the fields of Statistics, Machine Learning, Artificial Inteligence, ...

8 votes
1581 reads

The Gaussian Processes Web Site

http://www.gaussianprocess.org/ is a very useful website that "aims to provide an overview of resources concerned with probabilistic modeling, inference and learning based on Gaussian processes. Although Gaussian processes have a long history in the field of statistics, they seem to have been employed extensively only in niche areas.

7 votes
1735 reads

R Resources for Hydrologists

I ran into this very interesting blog, named AboutHydrology, regarding the application of "R" in hydrology. There are many tools, coded and developed in R, which can be used by hydrologists to process and analyze hydrological data. Implementation of hydrological model TOPMODEL in R is a good example to have look and start with. 

9 votes
2497 reads

What is IPython?

IPython provides a rich toolkit to help you make the most out of using Python, with:

1) Powerful Python shells (terminal and Qt-based).

2) A web-based notebook with the same core features but support for code, text, mathematical expressions, inline plots and other rich media.

3) Support for interactive data visualization and use of GUI toolkits.

4) Flexible, embeddable interpreters to load into your own projects.

5) Easy to use, high performance tools for parallel computing.



2012 FDA/Industry Statistics Workshop
Sep 12-14, 2012 - Washington, DC
2012 Conference on Health Statistics
Aug 6-8, 2012 - Washington, DC
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Actuarial Analytics in R - Free Webinar!
March 28, 2012 -11AM-12PM Pacific Time
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July 16-21, 2012, Austin, TX
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June 24-27, Boston, Massachusetts