Pattern Recognition Treningskurs

Last updated

Kurskode

datamodeling

Varighet

21 timer (vanligvis 3 dag inkludert pauser)

Krav

  • Understanding of statistics.
  • Familiarity with multivariate calculus and basic linear algebra.
  • Some experience with probabilities.

Audience

  • Data analysts
  • PhD students, researchers and practitioners

Oversikt

Dette instruktørledede, live kurset gir en innføring i feltet mønstergjenkjenning og maskinlæring. Den berører praktiske applikasjoner innen statistikk, informatikk, signalbehandling, datavisning, data mining og bioinformatikk.

Kurset er interaktivt og inneholder mange praktiske øvelser, tilbakemelding fra instruktører og testing av kunnskap og ferdigheter.

Machine Translated

Kursplan

Introduction

Probability Theory, Model Selection, Decision and Information Theory

Probability Distributions

Linear Models for Regression and Classification

Neural Networks

Kernel Methods

Sparse Kernel Machines

Graphical Models

Mixture Models and EM

Approximate Inference

Sampling Methods

Continuous Latent Variables

Sequential Data

Combining Models

Summary and Conclusion

Testimonials

★★★★★
★★★★★

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