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.

Comments

You want machine learning? You want IBM's Watson.

[mmell]

That machine wasn't merely a decision engine or a huge database - it was a learning system which was given a few months to learn all it could on a broad variety of subjects by crawling the internet. It wasn't programmed with rules to pair an answer with the correct question; it was a system which "learned" how to associate concepts. It was programmed to permit it to weigh its questions against how well they correlated to the answers - to determine a confidence level - but it wasn't specifically programmed to devise questions associated with answers. That's why the next publicly stated idea for the system was in medical diagnostics. It's another area where the ability to relate multiple seemingly disparate items of information with a non-static data store seemed to be of value.

Giving the right programming, it might even hold a conversation better than a 13 year old Ukrainian boy.

Re:Sky.NET

[sribe]

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.

Re:Sky.NET

[Cryacin]

(Arnie) Reboot this!

Re:Give WEKA a try

[lorinc]

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.

Re:Give WEKA a try

[LetterRip]

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.