I note that this also includes 'visual' machine learning, using methods that look like the Clementine system they acquired long ago for System Modeler. Good direction. Explored some of this via their Bluemix services, but this takes it further, for both professionals and for non professional use.
I contractually examined several examples of enterprise use in real projects, impressive plug-in power. Natural links to Watson Analytics? Looking at the new usability here and cost.
Watson Machine Learning is now Generally Available
Today we are excited to announce the general availability of the IBM Watson Machine Learning service. Over the past 12 months we've got feedback from hundreds of beta users of the Watson Machine Learning (WML) service. During the beta period, we’ve been actively collecting feedback provided via email, Slack, and targeted surveys. The WML product team has been actively engaged in those conversations and wherever possible we’ve worked to incorporate your feedback in to the service. With today’s announcement, we are now opening this service to the general public and rolling out a number of new features. Read on to learn more…
What is WML and why are we building it?
WML is a Bluemix service that enables users to perform two fundamental operations of machine learning. ....
Training: this is the process of refining an algorithm so that it can 'learn' from a dataset. The output of this operation is called a model. A model encompasses the learned coefficients of mathematical expressions.
Scoring: the operation of predicting an outcome using a trained model. The output of the scoring operation is another dataset containing predicted values. ... "
More details.
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