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1st learning algorithm -> linear regression [review] supervised learning : given a "right answer" - classification problem : 0 or 1 discrete value - regression problem : "predict" real-valued output 1. linear regression with one variable "exponentiation" ? 거듭제곱, 누승법 ... Training set -> learning algorithm -> h (hypothesis) x -> h -> estimated value (y) : h maps from x's to y's 2. mathematical def..

Machine Learning | Coursera 2016.05.17I. Introduction Machine learning is the field of study that gives computers the ability to learn without being explicitly programmed. 1. Supervised learning à regression or classification problem (what is right answer ?)- Classification à discrete valued output ( 0 or 1 ) – small number of value- Regression à a set of continued real value 2. Unsupervised lea..