Linear threshold units - PowerPoint PPT Presentation

Lecture 1: Introduction to Machine Learning

Lecture 1: Introduction to Machine Learning . Isabelle Guyon isabelle@clopinet.com. What is Machine Learning?. Learning algorithm. Trained machine. TRAINING DATA. Answer. ?. Query. What for?. Classification Time series prediction Regression Clustering. Market Analysis.

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Linear Discriminators

Linear Discriminators. Chapter 20 Only relevant parts. Concerns. Generalization Accuracy Efficiency Noise Irrelevant features Generality: when does this work?. Linear Model. Let f1, …fn be the feature values of an example. Let class be denoted {+1, -1}. Define f0 = -1. (bias weight)

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