Sublime

predicts forthcoming forms of fraud by generalizing from previously observed examples. This is the defining characteristic of a learning system.

And, finally, deep learning is about static translations, from an input to a label (a picture of a cat to the label cat), but reading is a dynamic process. When you use statistics to translate a story that begins Je mange une pomme to I eat an apple, you don’t need to know what either sentence means, if you can recognize that in previous bitexts je

Nature of the problem (Regression, Classification, Clustering, etc.) – Number of data records available for training – Decision support or cognitive use case? – Need for explain-ability

You'll be going over a type of ensemble model called bagged decision stumps, which is very close to an approach used constantly in industry called the random forest model.

The standard solution is to assume we know the form of the truth, and the learner’s job is to flesh it out.