Description

This page contains all the notes taken during my first semester of MSc in Artificial Intelligence and Machine Learning at the University of Birmingham, United Kingdom

Skills:
Python, PyTorch, Machine Learning, Deep Learning, Fundamentals of Mathematics for AI/ML.

Module 1: Machine Learning

Machine learning studies how computers can autonomously learn from available data, without being explicitly programmed. The module will provide a solid foundation to machine learning by giving an overview of the core concepts, theories, methods, and algorithms for learning from data. The emphasis will be on the underlying theoretical foundations, illustrated through a set of methods used in practice. This will provide the student with a good understanding of how, why and when various machine learning methods work.

Official Link: Machine Learning (Extended) - 2023

• Week 07: Is Learning Feasible?: Hoeffding Inequality
• Week 07: Is Learning Feasible?: Generalization Bound
• Week 08: Dichotomy

Module 2: Neural Computation (Deep Learning)

This course focuses on artificial neural networks and their use in machine learning. It covers the fundamental underlying theory, as well as methodologies for constructing modern deep neural networks, which nowadays have practical applications in a variety of industrial and research domains. The course also provides practical experience of designing and implementing a neural network for a real-world application.

Official Link: Neural Computation (Extended) - 2023

Module 3: Mathematical Foundations of Artificial Intelligence and Machine Learning

Mathematics is an integral part of modern approaches to machine intelligence. From the role of linear algebra and calculus in neural network learning models for image classification and speech recognition, to Bayesian approaches to automated disease diagnosis, , to control and reasoning in robotocs, mathematical methods are essential to understand, apply, and advance state-of-the art machine intelligence techniques. This module will introduce a range of mathematical tools and demonstrate how they can be used to understand and solve core machine intelligence tasks, and to analyse the limits of their performance.

Official Link: Mathematical Foundations of Artificial Intelligence and Machine Learning - 2023

Related links

TBD