I have some interesting learning’s. As I have struggled with this updated Microsoft language called Visual C++, it became a big time waster for me so I dumped it to go back to C#. Here is my experience with it:
Dear Microsoft: WTF did you do with this dogs breakfast known as Visual C++? I would rather bang my head against a brick wall
For those that are new to this party called QuantLabs.net, I have numerous open source projects I have created on SourceForge.net. Check them out:
Here is my entire list of available FREE open source projects I have posted on SourceForge for quant traders and researchers
If you are interested in learning some of those, let me know as I can easily put a posting together on that.
Filter out those awful quick schemes by verifying the demographics of the site with this secret I revealed a few days ago:
Youtube video on why our quant premium membersship is true premium with potential expensive rates coming in 2013
Matlab coder to C++ or C
MATLAB Coder converting Hello World M script to C or C++
R Hadoop for Big Data
Download Free Associated R open source script files for big data analyis
Open Source Code Simple Test of Microsoft .NET C# using MATLAB NE Builder
What are your “must read” blogs, websites to keep up to speed on new Quant Analytic/Data Mining/AI and Machine Learning projects/trends?
Greetings, I have been recruiting in Analytics for the last few years on a small scale for my Wireless clients. I am now moving my practice exclusively to “Big Data” projects as find the stuff fascinating.
What are your must reads (online or mailed) periodicals/blogs, and industry newsletters you have bookmarked or subscribed to and refer to on those rare “free moments” you have. I would also welcome any calls/emails to network about exciting projects you are working on or are interested in.
Sandro Saitta keeps a list of blogs on his site: http://www.dataminingblog.com/list-of-blogs/. kdnuggets is the gold standard. twitter lists for infovis, rstats, hadoop is another great resource for the latest trends.
A must to follow is Ajay Ohri’s blog http://www.decisionstats.com/ also http://smartdatacollective.com/ particularly James Taylors column and Tom Fuyala
I spent over an hour on the Smartdatacollective just now. So appreciate your helping out!
Is “R” a popular tool for corporate/government projects?
I’m only beginning to integrate R, but I wonder if anyone out there has insights on using it for enterprise clients?
R for space/time maps
a take at isolating seasonal risk hot spots
You may check the following discussion: http://lnkd.in/ixr4Ap.
The bottom line: R is not yet popular with corporate projects, but this shouldn’t deter you or your corporate customers as R is very powerful and highly reliable. Simply not many business folks heard of it.
Is Microsoft’s .NET gaining more momentum versus Java new quant based projects?
So yesterday some commented about Microsoft’s F#:
thus there is an open source implementation named Mono – which also features an F# implementation.
Given the speed of releases and innovation Microsoft has overtaken Oracle/Java.
So here we sit debating on the current direction of Oracle and/or Java versus Microsoft’s general technology of .Net. This got me thinking about the the world of Quant uses.
As you know I have experimented with some open source quant based projects like Active Quant and Marketcetera. Although both open source projects look innovative, I cannot afford to wait for years until these contributors get their projects up to snuff. Their documentation (or lack of) and community support sucks. When you look at a true open source project driver like Google, I am able to get up and running very quickly with projects like Google Web Toolkit.
It seems to me that the large tech companies need to stand behind their projects if they are going to take off. We know about how Java has become standard over the last fifteen years. We know about .NET being standard as well.
The general question is where do we stand today. I did some standard research of .NET versus Java. It sounds .NET is eating Java’s lunch lately. When you Google Trends of standard integrated development environments like Microsoft’s Visual Studio or Eclipse, Visual Studio has to be at least four to five times more popular than Eclipse. That is one way to measure the popularity of Java versus .NET. Also, I do the usual search of jobs of each on places like Dice.com. It seems Java is still number one but there are so many maintenance positions on those old legacy systems developed in Java.
That might be the past and present buts let’s talk about the momentum of new projects in the world of quant. I am finding that there are more .NET projects jobs versus Unix or Linux.
I am dying to know what people are working with the world of Quant industry. Is it .NET or Java?