Welcome to "A Hacker's Guide to Machine Learning" (HGML). This book is designed to empower you with the knowledge, skills, and confidence to apply machine learning techniques to real-world problems. This guide lightly touches on theoretical aspects of machine learning, while it focuses on practical applications and provides a hands-on approach that you can use across a variety of domains.
It’s critical to note that OpenAI’s ChatGPT was an essential assistant in generating algorithmic descriptions and some of the sample code in this toolkit. The placeholder images throughout HGML were generated with the runwayml/stable-diffusion-v1-5 model.
If you're a developer, engineer, data scientist, or even a curious enthusiast looking to dive into machine learning, you'll find this book a valuable resource. We assume that you have a basic understanding of programming and mathematics, but even if you're new to these fields, we've tried to make the content approachable. The code snippets are presented in Python using open source models and tools.