Learn Data Analysis

241 reads

Interesting talk on "Introduction to Machine Learning"

Submitted by Sepehr Akhavan on Thu, 05/09/2013 - 08:44

"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.

241 reads

"Matters of scale, and why they matter"

Submitted by Hamed Ashouri on Fri, 03/29/2013 - 12:20

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.

304 reads

Genotype Imputation via Matrix Completion

Submitted by Sepehr Akhavan on Sun, 03/10/2013 - 10:38

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.

369 reads

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

Submitted by Hamed Ashouri on Fri, 03/08/2013 - 12:53

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

1672 reads

Gaussian Process Tutorial - Carl Edward Rasmussen

Submitted by Sepehr Akhavan on Fri, 03/08/2013 - 00:20

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

377 reads

Dirichlet Distribution - Quick Review

Submitted by Sepehr Akhavan on Wed, 02/27/2013 - 00:20

Dirichlet distribution:

191 reads

Obama Seeking to Boost Study of Human Brain

Submitted by Sepehr Akhavan on Mon, 02/18/2013 - 12:40

"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, ...

330 reads

The Gaussian Processes Web Site

Submitted by Sepehr Akhavan on Sun, 02/17/2013 - 23:54

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.

351 reads

R Resources for Hydrologists

Submitted by Hamed Ashouri on Thu, 01/10/2013 - 07:31

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.