Lab Class Notebooks

9th March 2015

This subdirectory contains a collection of notebooks designed for running lab classes. The lab classes are associated with different schools and courses we teach, often associated with our Open Data Science Agenda.

Schools

For the Department of Computer Science's Ambassador Programme we created this notebook, targeted at 14 year olds and above.

• Learning from Data: Movie Recommendation in the IPython Notebook This notebook is used for introducing school children with good ability in maths, as well as the general public, to the ideas behind learning algorithms.

Undergraduates

Targeted at first year undergraduates with a mathematical high school background, this notebook came at the end of a 6 week introduction to machine learning and artificial intelligence.

• Machines and Intelligence This was a notebook used to introduce first year students to the ideas behind machine learning (target level: post high school maths).

Masters Students

This set of notebooks is targeted at MSc students with an undergraduate degree in a numerical area.

• Machine Learning and Adaptive Intelligence These notebooks are used in the lab classes of Neil's Level 4/MSc module on machine learning.

PhD and Other Post Graduate

These short schools are targeted at PhD and other post-graduate level students. The Gaussian process schools assume that some prior background in machine learning has been taught. The data science school is targeted at students with a technical background, who may not have seen machine learning courses before.

• Data Science School These notebooks are the foundation of a short course on data science designed to be taught across three to five days.
• Gaussian Process Schools (External) These notebooks are used for our Gaussian process schools when taught on the road by Neil, often hosted by collaboratorsin other institutions.
• Gaussian Process Summer School (Sheffield) These notebooks are used for our Gaussian process summer school lab classes as taught in Sheffield.