Data Analysis
Intermediate
Mathematical Methods for Data Analysis
Mathematical Methods for Data Analysis
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4
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Language
Created by
Jianfeng CAI
Language
id
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Transcripts
English
Prerequisites
None
What you'll learn
Master these skills and apply them to real-world projects.
Vector spaces, metrics and convergence
Case study: Clustering, k-means, k-medians
Inner product, Hilbert space
Case study: Kernel trick, kernel k-means; metrics learning
Linear functions and differentiation
Case study: Regression and classification; optimality and gradient descent
Course curriculum
2 sections · 4 lessons
2
Sections
4
Lessons
0
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0
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About this course
Course description
Meet your instructor
Learn from an industry expert
Jianfeng CAI
Professor of Mathematics at The Hong Kong University of Science and Technology
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