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Details

This training course is for people that would like to apply basic Machine Learning techniques in practical applications.

Audience

Data scientists and statisticians that have some familiarity with machine learning and know how to program R. The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization. The purpose is to give a practical introduction to machine learning to participants interested in applying the methods at work

Sector specific examples are used to make the training relevant to the audience.

Outline

  • Naive Bayes
  • Multinomial models
  • Bayesian categorical data analysis
  • Discriminant analysis
  • Linear regression
  • Logistic regression
  • GLM
  • EM Algorithm
  • Mixed Models
  • Additive Models
  • Classification
  • KNN
  • Ridge regression
  • Clustering
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  • NobleProg is a Training and Consultancy provider.
  • Our training and consultancy offers include Management, IT, Statistics, Programming and Artificial Intelligence. And our cost effective business model allows us to offer training to very small group sizes (even one-to-one) ensuring we provide the highest possible quality.
  • Founded in 2005, we are currently Headquartered in London, and established in Europe, MIddle East, Canada and in the US.
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