Workshop 5: Machine Learning

This workshop provides a basic introduction to machine learning. First we will talk about data preparation and exploration. Then we will introduce a general pipeline for unsupervised and supervised learning.

You are expected to study the the following content:

• Dataset exploration and validation

• Learning models

  • Unsupervised learning
  • Supervised learning

In the workshop, do some basic data exploration and modeling.

• Machine Learning Workshop

Tutorials

• Dataset exploration and validation
  • Features
  • Data exploration
  • Data preparation
• Learning models
• Unsupervised
  • Dimensionality reduction
  • Clustering
• Supervised
  • Classification models
  • Parameters
  • Cross validation
  • Fitness of the model
  • Semi-supervised learning
  • Summary notes
• Machine Learning Workshop
  • Data exploration
  • Unsupervised learning
  • Supervised learning