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Introduction to Predictive Learning

Introduction to Predictive Learning . LECTURE SET 7 Support Vector Machines. Electrical and Computer Engineering. 1. OUTLINE. Objectives explain motivation for SVM describe basic SVM for classification & regression compare SVM vs. statistical & NN methods

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CS 179: Lecture 13

CS 179: Lecture 13. Intro to Machine Learning. Goals of Weeks 5-6. What is machine learning (ML) and when is it useful? Intro to major techniques and applications Give examples How can CUDA help? Departure from usual pattern: we will give the application first, and the CUDA later.

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389 views • 38 slides

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Introduction to Predictive Learning

CS 179: Lecture 13