NDLI: Weak Learnability and Boosting 1 . 1 Strong learnability vs Weak learnability

Content Provider	Semantic Scholar
Author	Lecture Hazan, Elad
Copyright Year	2016
Abstract	In this lecture we consider a fundamental property of learning theory: it is amenable to boosting. Roughly speaking, boosting refers to the process of taking a set of rough “rules of thumb” and combining them into a more accurate predictor. Consider for example the problem of Optical Character Recognition (OCR) in its simplest form: given a set of bitmap images depicting hand-written postal-code digits, classify those that contain the digit “1” from those of “0”.
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