How Machines Learn: An Introduction

Build your understanding of how machines learn using data, how to train a neural network, and why Maths like algebra and calculus are essential tools for future AI creators.

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Course curriculum

1. Welcome! 🌞
2. Let's get to know you📝
1. Machine Learning and AI with Pete Husemeyer
1. Extra Resources 🍎
2. Feedback📝

About this course

Free
5 lessons
0.5 hours of video content
Intermediate Level

What you will learn

Understand the Core Types of Machine Learning: Learn the difference between classification, clustering, regression, and dimensionality reduction through real-world examples like sorting tomatoes or predicting house prices.
Explore Neural Networks and Deep Learning: Discover how multilayer perceptrons (a type of neural network) work, including neurons, weights, activation functions, and how machines "learn" from data over time.
Connect Maths to AI: See how maths topics like linear algebra and calculus are used to train AI models, adjust weights, and make smart predictions—just like in real-life AI systems.

Meet your Instructor

Dr. Pete Husemeyer

Chief Innovation Officer + Co-Founder, Sportable

Pete is passionate about sports, technology and engineering. Before co-founding Sportable in 2016, Pete completed engineering degrees in Mechanical Engineering, Computational Mechanics and Nuclear Engineering, including a PhD in Space Nuclear Engineering from Cambridge University. While at Cambridge, Pete spent four years working for NASA Marshall Space Flight Centre and the Centre for Space Nuclear Research based at Idaho National Labs. He now applies his passion for sports and problem-solving as Chief Innovation Officer and member of the board for Sportable.

Frequently Asked Questions

What is this course about?

Learn how computers make predictions, group similar items, and recognise patterns. You’ll explore real-world examples, such as how Netflix recommends shows or how Formula 1 teams utilise AI to improve performance. You'll also get into the basics of neural networks: the brain-inspired tech behind tools like ChatGPT.
Why should I learn Machine Learning?

Machine Learning is one of the most exciting and in-demand skills in the world today. Whether you’re into gaming, sports, coding, music, or social media, AI is transforming every industry. Learning how neural networks work gives you the power to build AI tools.