cm3015 Machine Learning and Neural Networks

Main Info

• Title: Machine Learning and Neural Networks

• Leader(s): Jamie Ward

• Semester Taken: October 2021

• REPL Link

• Syllabus

• Specification

Abstract

Syllabus

Syllabus Link

Main Textbooks

• Alpayadin: Introduction to Machine Learning

• Chollet: Deep Learning with Python

Supplementary Texts

• Murphy: Probabilitic Machine Learning

• Deisenroth et al: Mathematics for Machine Learning

• Mitchell: Machine Learning

Topics

• Topic 1: Introduction

• Topic 2: Classification

• Topic 3: Regression

• Topic 4: Model Improvement

• Topic 5: Probabilistic Classifiers

• Topic 6: Unsupervised Learning

• Topic 7: Neural Networks and Deep Learning

• Topic 8: Mathematical Building Blocks of Neural Networks

• Topic 9: Getting Started with Neural Networks

• Topic 10: Fundamentals of Machine Learning

Related Notes

Scikit Learn