machinomics.blogspot.com
Machinomics: Clojure HashMap usage within a Java class
http://machinomics.blogspot.com/2014/03/clojure-hashmap-use-within-java-class.html
Wednesday, March 26, 2014. Clojure HashMap usage within a Java class. I attended the Hack (Make! Hackathon that took place on Level 39 (One Canada Square in London). My team decided to make a funds reallocating application that makes automatic payments once an account is topped up. Long story short, we got stuck at interoperability with the Java classes providing Paypal access. Realized that the structure we were passing was inmutable so we just created the proper Java HashMap instance. EWRL and NIPS 2016.
machinomics.blogspot.com
Machinomics: March 2014
http://machinomics.blogspot.com/2014_03_01_archive.html
Wednesday, March 26, 2014. Clojure HashMap usage within a Java class. I attended the Hack (Make! Hackathon that took place on Level 39 (One Canada Square in London). My team decided to make a funds reallocating application that makes automatic payments once an account is topped up. Long story short, we got stuck at interoperability with the Java classes providing Paypal access. Realized that the structure we were passing was inmutable so we just created the proper Java HashMap instance. We have that $k(x...
machinomics.blogspot.com
Machinomics: February 2014
http://machinomics.blogspot.com/2014_02_01_archive.html
Wednesday, February 26, 2014. On the computer languages market. There is an interesting series of articles on Dr. Dobb's essentially about what we can call the computer languages market, where they analyze trends and caracteristics, especially in the Editor in chief's article. I found the following paragraph of particular interest:. It is now clearly contradicted by the evidence. Posted by Analytic Bastard. Monday, February 10, 2014. Machine learning in a few words. Let me tell you something:. Maching Le...
machinomics.blogspot.com
Machinomics: July 2013
http://machinomics.blogspot.com/2013_07_01_archive.html
Tuesday, July 30, 2013. I am conducting a survey of kagglers' habits (this is, data scientist, machine learning practitioners.). Including is: academic background, hardware used to analyze data, language of choice, views of machine learning, geographical origin, place of study. If you are interested and you are a ML practitioner, please take the survey at. Http:/ es.surveymonkey.com/s/SYYTCF2. Posted by Analytic Bastard. Monday, July 29, 2013. Mathematical analysis of MapReduce. Left F (f y) right {y=k}$.
machinomics.blogspot.com
Machinomics: On the computer languages market
http://machinomics.blogspot.com/2014/02/on-computer-languages-market.html
Wednesday, February 26, 2014. On the computer languages market. There is an interesting series of articles on Dr. Dobb's essentially about what we can call the computer languages market, where they analyze trends and caracteristics, especially in the Editor in chief's article. I found the following paragraph of particular interest:. It is now clearly contradicted by the evidence. Posted by Analytic Bastard. Subscribe to: Post Comments (Atom). How Machine Learning can save you time. EWRL and NIPS 2016.
machinomics.blogspot.com
Machinomics: May 2013
http://machinomics.blogspot.com/2013_05_01_archive.html
Friday, May 31, 2013. Protein classification as a text mining problem. Man we are active on Kaggle. I am writing a paper to apply a non-linear kernel combination technique that I invented. The goal is to predict proteins functions from protein interactions. The input files are taken from CYGD-mips.gsf.de/proj/yeast. And go like this. So you get an idea of the rest. Each line cointains an interaction of two proteins. From sklearn.cross validation import train test split. Tfidf", TfidfTransformer() ,.
machinomics.blogspot.com
Machinomics: November 2013
http://machinomics.blogspot.com/2013_11_01_archive.html
Wednesday, November 20, 2013. Google Highway 101 brainteaser. Some days ago I read about the famous Google application invitation in the form of an ad on Highway 101 passing through LA. The ad shows a conceiled URL that we need to guess by computing the first 10-digit prime that appears in the series of consecutive digits of the irrational e. It is an oldie but goodie. I thought I could solve this in Clojure. Here is my solution. First we need to compute the number e with as many digits as necessary.
machinomics.blogspot.com
Machinomics: The Gaussian kernel maps data onto the sphere
http://machinomics.blogspot.com/2014/02/the-gaussian-kernel-maps-data-onto.html
Sunday, March 2, 2014. The Gaussian kernel maps data onto the sphere. It is a fact as surprising as trivial that the Gaussian kernel maps your data onto the infinite-dimensional sphere. No computation regarding the RKHS basis are required, since, given the kernel. K(x,y)= exp(- gamma x-y 2)$. Defined on the domain $X$, inducing a map $ Phi: X rightarrow F$, where $F$ is the associated feature space. Where the authors make again the same mistake many people do: Naming the feature space as the RKHS (IT IS ...
machinomics.blogspot.com
Machinomics: What lies underneath malloc
http://machinomics.blogspot.com/2014/02/what-lies-underneath-malloc.html
Saturday, February 1, 2014. What lies underneath malloc. Malloc is C's dynamic memory allocation function: memory is assigned to the process heap and then the malloc dynamic assignation does its magic, to make boundaries between dynamically assigned variables. Here's how it works (bear in mind that a malloc implementation is largely compiler-dependent):. At the beginning of the process' heap free space, a special region is allocated to point to the next. Posted by Analytic Bastard. EWRL and NIPS 2016.
machinomics.blogspot.com
Machinomics: January 2015
http://machinomics.blogspot.com/2015_01_01_archive.html
Sunday, January 4, 2015. This blog has moved! I finally moved to Github pages. Check out my new content so far:. Equality of Means Statistical Test Made Easy. IPython Notebook for Data Analysis. The Future of Data Analysis Tools: Python, Web Technologies. Current Computer Language Market. Naive Bayes Implemented With Map/Reduce Operations. A Gentle Introduction to RKHS and Kernel Methods. Posted by Analytic Bastard. Subscribe to: Posts (Atom). How Machine Learning can save you time. EWRL and NIPS 2016.
