dga intro

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1. 1▶DGA - Laplacian and Hessian EmbeddingsManifold Learning, Optimization and Information GeometryNotes
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2. 2▶DGA - Riemannian Newton AlgorithmManifold Learning, Optimization and Information GeometryNotes
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3. 3▶DGA - CurvatureManifold Learning, Optimization and Information GeometryNotes
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4. 4▶DGA - Dimensionality reduction methodsManifold Learning, Optimization and Information GeometryNotes
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5. 5▶DGA - Intro to Manifold LearningManifold Learning, Optimization and Information GeometryNotes
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6. 6▶DGA - GeodesicsManifold Learning, Optimization and Information GeometryNotes
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7. 7▶DGA - Statistical ManifoldsManifold Learning, Optimization and Information GeometryNotes
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8. 8▶DGA - ConnectionsManifold Learning, Optimization and Information GeometryNotes
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9. 9▶DGA - MetricsManifold Learning, Optimization and Information GeometryNotes
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10. 10▶DGA - Abstract Manifolds 2Manifold Learning, Optimization and Information GeometryNotes
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11. 11▶DGA - Abstract manfiolds 1Manifold Learning, Optimization and Information GeometryNotes
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12. 12▶DGA - Examples of OptimizationManifold Learning, Optimization and Information GeometryNotes
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13. 13▶DGA - Riemannian Gradient DescentManifold Learning, Optimization and Information GeometryNotes
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14. 14▶DGA - Calculus on Submanifolds of R^nManifold Learning, Optimization and Information GeometryNotes
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15. 15▶DGA - Intro to ManifoldsManifold Learning, Optimization and Information GeometryNotes
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