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Pattern Recognition Training Course
Course
Online
Description
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Type
Course
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Methodology
Online
This course provides an introduction into the field of pattern recognition and machine learning. It also touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. The course is interactive and includes plenty of hands-on exercises, continuous feedback, and testing of knowledge and skills acquired.
Audience
Data analysts
PhD students, researchers and practitioners
About this course
Understanding of statistics
Familiarity with multivariate calculus and basic linear algebra
Some experience with probabilities
Reviews
Course programme
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
Additional information
Pattern Recognition Training Course