welcome
Thanks for purchasing the MEAP for the second edition of Grokking Machine Learning.
This book is for anyone who wants to really understand machine learning (ML), not just treat it as a black box or reproduce examples blindly. If you have been curious about ML but felt that the math looked intimidating or the explanations too abstract, you are in the right place. We will use some math, but not heavy formality. The core ideas are explained with intuition, pictures, and stories, while the more formal details live in appendices you can visit when and if you want to.
You do not need to write pages and pages of formulas or be a seasoned engineer to follow along. If you can handle basic algebra and are willing to think through examples, you will be fine. Prior coding experience helps, but even very basic programmers can work through the material. The code uses popular libraries like pandas, scikit-learn, and TensorFlow/Keras, and each algorithm is built up step by step so you can see how it works from the inside.