Introduction to optimization on smooth manifolds: first order methods

edX MOOC / Non-credit USD 75
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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).

What you'll learn

  • understand the concept of a manifold
  • implement Riemannian gradient descent algorithm
  • apply optimization techniques in nonlinear spaces

Skills you'll gain

machine learningdata analysisoptimizationgradient descentalgorithm implementationtheoretical foundationsnonlinear optimizationmanifoldsriemannian geometry

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