Course/Event Essentials
Event/Course Start
Event/Course End
Event/Course Format
Online
Live (synchronous)
Primary Event/Course URL
Training Content and Scope
Scientific Domain
Technical Domain
Level of Instruction
Beginner
Intermediate
Sector of the Target Audience
Research and Academia
Industry
HPC Profile of Target Audience
Data Scientists
Language of Instruction
Other Information
Organiser
Event/Course Description
- What is machine learning?
- Machine learning data
- Visualisation, Feature Engineering
- Unsupervised learning
- Dimension reduction
- Early classification and regression algorithms
- Classification and regression trees
- Ensemble methods
- Model selection for regression
- Optimal linear separators and kernels
- Optimisation with gradients
- Neural networks
- Deep Learning
- Multiple testing
- Machine Learning and fairness
- Learning and Privacy
- Introduction to Reinforcement Learning
- Learning for recommendation