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Introduction to Machine Learning
Machine learning/AI Overview

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

Machine learning/AI Target Audience:

Data scientists and statisticians that have some familiarity with machine learning and know how toprogram 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 tomachine learning to participants interested in applying the methods at workSector specific examples are used to make the training relevant to the audience.

Machine learning/AI Course duration

2 Days

Machine learning/AI Course 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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