Microsoft To Launch Machine Learning Service
angry tapir (1463043) writes Microsoft will soon offer a service aimed at making machine-learning technology more widely usable. "We want to bring machine learning to many more people," Eron Kelly, Microsoft corporate vice president and director SQL Server marketing, said of Microsoft Azure Machine Learning, due to be launched in beta form in July. "The line of business owners and the marketing teams really want to use data to get ahead, but data volumes are getting so large that it is difficult for businesses to sift through it all," Kelly said.
The service will have "...an interface called the Machine Learning Studio. The palette includes visual icons for some of the most commonly used machine-learning algorithms, allowing the user to drag and drop them into a visually depicted workflow." Algorithms themselves are implemented in R, which the user of the service can use directly as well.
Giving the right programming, it might even hold a conversation better than a 13 year old Ukrainian boy.
Why did it have to be Microsoft?
Well, at least it will keep crashing, and maybe humanity will figure out a way to defeat it during one of the reboots.
(Arnie) Reboot this!
Science advances one funeral at a time- Max Planck
I have only one problem with fancy GUI that allow you to train a predicting model in 2 clicks: how confident can you be in your model, since all the parameters are masked and you have no knowledge about them? I still think it is dangerous to rely on a tool you don't understand and you can't control up to a satisfactory level, especially when it is to be used in prediction - something we expect to be highly reliable in many aspects due to old development of science like balistics.
I've written a ML library myself (also in Java, more lightweight than weka, but with no gui - although it comes with standalone binaries for some basic setups) and I can tell you there is no good default tunning that works well for every kind of situation. ML is seriously a young science that gets rapidly tricky even on very common problems, which is very different than field for which we have very accurate solvers that work most of the time (again balistics is probably a good example, at least because it is taught in school and sets the prototype of what we name science). I fear hidding the youth (and thus the imperfection) is only going to cause damage through misconception and false interpretation.
Video of some good progressive thrash music
Having used Weka, sklearn, vowpal wabbit, Orange, and lots of others - I'd say that Weka is my least favorite, it is slow and has crappy memory management. I do use it occassionaly for feature ranking and reduction, but rarely for the actual machine learning.
You don't trust anything you haven't built???
How do you know your HDD firmware isn't corrupting data? Build it yourself??
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