Parsimonious Representations in Data Science - Dr. Armin Eftekhari, University of Edinburgh

Parsimonious Representations in Data Science - Dr. Armin Eftekhari, University of Edinburgh

Alan Turing Institute via YouTube Direct link

Introduction

1 of 14

1 of 14

Introduction

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Parsimonious Representations in Data Science - Dr. Armin Eftekhari, University of Edinburgh

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  1. 1 Introduction
  2. 2 Data points
  3. 3 Models
  4. 4 Bandlimited signals
  5. 5 Bandlimited audio signals
  6. 6 Lowdimensional subspaces
  7. 7 Least squares problem
  8. 8 Matrix notation
  9. 9 singular value decomposition
  10. 10 nonlinear models
  11. 11 nonlinearity
  12. 12 optimization problem
  13. 13 rewrite problem
  14. 14 proof

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