W3 - L1 - Logistic Regression

WEEK 3 - Lecture 1

Logistic Regression

Logistic regression is a method for classifying data into discrete outcomes. For example, we might use logistic regression to classify an email as spam or not spam. In this module, we introduce the notion of classification, the cost function for logistic regression, and the application of logistic regression to multi-class classification.

7 videos, 8 readings

Video: Classification

Reading: Classification

Video: Hypothesis Representation

Reading: Hypothesis Representation

Video: Decision Boundary

Reading: Decision Boundary

Video: Cost Function

Reading: Cost Function

Video: Simplified Cost Function and Gradient Descent

Reading: Simplified Cost Function and Gradient Descent

Video: Advanced Optimization

Reading: Advanced Optimization

Video: Multiclass Classification: One-vs-all

Reading: Multiclass Classification: One-vs-all

Reading: Lecture Slides

Lecture6.pdf

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转载自www.cnblogs.com/keyshaw/p/10060265.html