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LA Machine Learning Message Board › Machine learning "development" advice, hints, and tricks

Machine learning "development" advice, hints, and tricks

Dave K.
Los Angeles, CA
Post #: 6
Would love some feedback from people about how they do machine learning "development" (i.e., programming language, packages, libraries, editors, etc.).

I for one find myself doing a lot of ad hoc coding in R (previously MATLAB), and little of research ML code I write lives up to the coding standards I was taught in school and at Google. Also, I'm working with large data sets so straightforward stuff usually takes forever to execute; I need to get a more "high-performance" set up (taking advantage of fast math libraries, parallel processing, GPU, distributed stuff, etc.).

Anyway, I'm experimenting, and I'd love to hear about other people's experiences. Here are some options I'm exploring:

* Seriously learning python and using the awesome python stuff (NumPy, SciPy, Theano, etc.).
* GPGPU programming: OpenCL / CUDA
* Hadoop + Mahout
* Clojure?

Eventually we'll compile this discussion into a "Page."
A former member
Post #: 2

RapidMiner and Weka.
A former member
Post #: 2
R, Perl and Weka
Rob Z.
user 10488294
Los Angeles, CA
Post #: 2
In addition to R, may I suggest

vowpal wabbit
maybe bottou's sgd package.
Dave K.
Los Angeles, CA
Post #: 7
Yeah, I've found R quite useful especially for prototyping and creating graphs/visualizations/etc., as well as for its extensive free selection of packages. However, I have an inexplicable affinity for python as a programming language, so I'm starting to gravitate toward it as my basic platform...

Here's a more specific question: how about list which programming languages you work in and estimate what percentage of time you spend in each one? Although I guess that could indicate inefficiency of the language as much as it might indicate preference... :-P
Dave K.
Los Angeles, CA
Post #: 8
LA R Users' Group is doing a meetup addressing this very topic on Tuesday, March 29, at 6:30PM on UCLA campus:­
user 5064318
Tarzana, CA
Post #: 2
I tend to prototype in Numpy/Scipy.
I'm not a big fan of Rapidminer and there is a python based app thats similar called 'Orange' (http://orange.biolab....­.
Because it's Python based, It's easy create custom Py scripts where you mix and match what you want without having to use the data mining app directly.

user 34260152
Santa Monica, CA
Post #: 1
Dave, I am curious about your Matlab background. How did you start with that and made the transition to R and possibly now Python?
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