Module 1

Introduction to Modern Machine Learning

Course overview

The module “Introduction to Modern Machine Learning” will be an introductory course on modern machine learning. Students will learn basic programming skills and be introduced to key ideas from machine learning, such as linear and nonlinear methods, and how to deal with overfitting. They will also explore the concepts of supervised and unsupervised learning and the basic ideas behind deep learning.   

Learning outcomes 

For delegates who have successfully completed the course, the learning outcomes will be:  

• Understand a range of statistical and mathematical techniques to manipulate empirical data sets. 

• Implement machine learning algorithms. 

• Apply learnt techniques to real life data sets.