[ML] Some learnings

* Active Learning = supervised + oracle queries

* Semi-supervised Learning = supervised + unlabeled data
* Multitask & Transfer Learning = supervised + data from related task(s)
* Domain Adaptation = supervised + data from source domain(s)
* Multiview Learning = supervised + alternative data views
* Learning in a Bandit Setting = supervised + limited feedback
* Multiple-Instance Learning = supervised + relaxed label granularity
* Learning with Expert Knowledge = supervised + side information
* Weakly Labeled Data = supervised + free (possibly inaccurate) labels
* Human Computation and Crowd-sourcing = supervised + free/inexpensive
annotators
* Learning on a Budget = supervised + misc. cost constraints

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