Machine Learning Q and AI

FOREWORD

There are hundreds of introductory texts on machine learning. They come in a vast array of styles and approaches, from theory-first perspectives for graduate students to business-focused viewpoints for C-suites. These primers are invaluable resources for individuals taking their first steps into the field, and they will remain so for decades to come.

However, the path to expertise is not solely about the beginnings. It also encompasses the intricate detours, the steep ascents, and the nuances that aren’t evident initially. Put another way, after studying the basics, learners are left asking, “What’s next?” It is here, in the realm beyond the basics, that this book finds its purpose.

Within these pages, Sebastian walks readers through ...