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MOOC / Non-credit
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Introduction to optimization on smooth manifolds: first order methods
About this course
Learn to optimize on smooth, nonlinear spaces: Join us to build your foundations (starting at "what is a manifold?") and confidently implement your first algorithm (Riemannian gradient descent).
D
52/100
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- What the provider tells you
- 16/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understand the concept of a manifold
- implement Riemannian gradient descent algorithm
- apply optimization techniques in nonlinear spaces
Machine Learning
#machine learning
#data analysis
#optimization
#gradient descent
#algorithm implementation
#theoretical foundations
#nonlinear optimization
#manifolds
#riemannian geometry
$75.00
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