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Is there a decent introduction to scala as a language with real world ML? I've come across various ML primers that go into detail on PCA, Linear regression, etc. But not any that show real world ML usage i.e. if person listen to music of type X they'll also like Y. Face detection, etc.

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You also don't see things about feature engineering, how to know what to do next to improve things, etc. ML is an art, and nobody covers this much :(

exactly my thoughts. Its one thing to "know" about curse of dimensionality but one doesn't get to knot things unless they are applied to solve problems.

Check out our project, [KeystoneML](http://keystone-ml.org/) - it's geared to large scale machine learning in the realms of computer vision, NLP, and (soon) speech. The design is modular and engineering-friendly and is quite focused on real-world applications. (e.g. start with pictures, do the feature extraction, PCA, linear regression, etc.) and out comes a classifier.

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