Archive for the ‘weekend’ tag
MetaOptimize - A Machine Learning Q&A Community (Similar to StackOverflow)
Git Magic – A Git Tutorial as a Video Game Analogy
Bayesian Reasoning and Machine Learning – Textbook with free online textbook (in beta) by David Barber.
Bioconductor Experiment Data Packages – A list of packages with experiment data (a lot of microarray)
Bioconductor One-day Overview Course – From Harvard Biostatistics Department (PDF)
Clustering and Visualization of Microarray Data – This is the best presentation I have seen of the topics, including clustering evaluation (PDF)
Statistical Microarray Data Analysis – This excellent presentation from the same guy includes the one above and discusses a much broader scope. (PDF)
Han-Ming Wu’s Site – This is the professor that released the above two presentations. He has more information on his site. (Only some English)
Concentrations of Measure – This is Prof. Tyrone Vincent’s great presentation on probability inequalities from PASI
Machine Learning Video Lectures and Notes – Professor Tom Mitchell at Carnegie Mellon
Annotated Computer Vision Bibliography – A HUGE list of links from various disciplines related to pattern recognition, machine learning, facial recognition, etc. Highly recommended for exploration.
Spectral Variation, Normal Matrices, and Finsler Geometry - Provides a great discussion on the development of the Hoffman-Wielandt theorem and describes several inequalities related to the Frobenius norm of the difference of two matrices
A Note on the Hoffman-Wielandt Theorem for Generalized Eigenvalue Problem - An interesting development of diagonalizable pairs of Hermitian matrices.
The Shame of College Sports – An article that has been highly recommended to me about corruption in college sports
UCSDs Computational Mass Spec Blog – I like how they compile papers and comment on them in blog form with various details about each. I am tempted to adopt their method.
Extending and Embedding R with C++ – Presentation
Introduction to Machine Learning – book by Alex Smola (Yahoo)
Applied Multivariate Statistical Analysis – Excellent book by Hardle and Simar (PDF!)
Primer on Matrix Analysis and Linear Models – Excellent resource for more rigorous approach to matrices!!!
Applied Statistics for Bioinformatics using R – Book (PDF)
Distributed Computing with R Using Snowfall – Presentation (PDF)
Introduction to Neural Networks – comp.ai.neural-nets newsgroup
Statistical Data Mining Tutorials – Slides by Prof. Andrew Moore at CMU
Material for Jieping Ye’s Machine Learning Course – Lots of papers, links, data sets, and tutorials.
Rosetta Code (Translation of Various Coding Tasks into Many Programming Languages)
Shrinkage Discriminant Analysis and Feature Selection (along with sda package on CRAN)
Statistical Learning Based on High Dimensional Data (PDF: Master’s Thesis focused on Regularized Discriminant Analysis)
I am terrible about leaving tabs open in Google Chrome. Often I find useful links, which are related (whether directly or indirectly) to my current project, but in order to get anything done right now, I have to push these off onto a stack. My stack of choice is opening a new tab. As I open more and more tabs without ever returning to the previous ones, Chrome becomes bogged down, sluggish, and filled with many potential distractions.
I currently have 3 Chrome windows open with a total of 20 tabs present. As an example, below is a screenshot of the tabs from one window.
At one point, InstaPaper was my fix for this problem. If I encountered a new link (that are really Internet shine-ys), my first response was to stuff the link quickly into my InstaPaper account through the nice icon on my address bar. My InstaPaper account became a huge repository of links that I wanted to read and to understand. Unfortunately, when a mass collection resulted, I became more unlikely to return to them.
Recently, through my Twitter account, I encountered John D. Cook’s blog and noticed his Weekend miscellany. It seems that he has a decent way of dealing with useful but potentially distracting links. Although this may not be his motivation, I am interpreting this as a temporary delay in dealing with a link with the goal of returning to them at a set time, say the weekend. I have decided I am going to do much the same thing and beginning something I am naming Wait til the Weekend.
Here are my first links: