Algorithms and Machine Learning 2023 「Welcome page」

Welcome to unit MATH20017: Algorithms and Machine Learning.

This unit is aimed at students in their 2nd year of the Data Science BSc.

We will study the following topics:

Introduction to algorithms and computational complexity

Worst-case run-time analysis and the RAM complexity model

The divide and conquer method

Graph search algorithms

Basic data structures

Numerical integration by Monte Carlo

Singular value decomposition

Regularisation for high-dimensional regression

Introduction to continuous optimisation and stochastic gradient descent

Every week we will post lecture notes in the "Lecture Notes" section after the lecture.

Assessed coursework will be posted in the "Assessment, submission and feedback" section.

Recommended books

A Common-Sense Guide to Data Structures and Algorithms by Jan Wengrow

Introduction to Algorithms Hardcover by Cormen, Leiserson, Rivest, Stein

Algorithms Illuminated, Part 1, 2, 3 by Tim Roughgarden:

Understanding Machine Learning: From Theory to Algorithms Hardcover by Shalev-Shwartz and Ben-David

Foundations of Data Science by Blum, Hopcroft, Kannan

Henry Reeve

henry.reeve@bristol.ac.uk

* Examination (50%)

* Assessed coursework (50%)

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