Machine Learning Intuition

Machine Learning and AI have taken our world by storm. And yet, so few people truly understand these technologies.

I have spent a large part of my career solving practical problems with Machine Learning. This book is my attempt to explain the intuition behind those solutions for family, friends and curious readers.

If you want to understand how an algorithm can learn from examples and make useful predictions, welcome! You are in the right place. Expect clear explanations and simple visualisations rather than heavy mathematics.

The first part is a self-contained introduction to prediction with Machine Learning. It explains the core ideas you need to make sense of models that learn from data.

The following chapters explore important aspects of Machine Learning practice — for example: modelling approaches, model evaluation, and data preprocessing.

The final section brings these pieces together with an accessible end-to-end Machine Learning project.

The last chapter reflects on how modern generative AI models connect with the ideas presented here.