Master Logistic Regression in 8 Minutes | Stanford ML-005 Lecture by Andrew Ng π―
Learn the fundamentals of logistic regression, including decision boundaries, cost functions, and optimization techniques, in just 8 minutes with Stanford's Andrew Ng. Perfect for quick understanding and practical application!
Machine Learning and AI
18.7K views β’ Aug 2, 2017
About this video
Contents:
Classification,
Hypothesis Representation,
Decision Boundary,
Cost Function,
Simplified Cost Function and Gradient Descent,
Advanced Optimization,
Multiclass Classification,
Classification,
Hypothesis Representation,
Decision Boundary,
Cost Function,
Simplified Cost Function and Gradient Descent,
Advanced Optimization,
Multiclass Classification,
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Video Information
Views
18.7K
Likes
219
Duration
01:12:24
Published
Aug 2, 2017
User Reviews
4.4
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