Introduction to machine learning and the TensorFlow library is like the first lessons in driving school, when you are struggling with parallel parking, trying to change gear at the right moment and not mix up the mirrors, feverishly remembering the sequence of actions, while your foot trembles nervously on the pedal gas. This is a difficult but necessary exercise. It’s the same with machine learning: before you can use modern facial recognition systems or forecasting algorithms on the stock market, you will have to understand the appropriate tools and set of instructions so that you can then easily create your own systems. Beginners in machine learning will appreciate the applied focus of this book, because it The goal is to introduce the basics so you can quickly begin solving real problems. From an overview of machine learning concepts and how to work with TensorFlow, you'll move on to basic algorithms, explore neural networks, and be able to solve classification, clustering, regression, and prediction problems on your own.