From Experts Guiding Data to Data Guiding Solutions

This book addressed the science and use of machine learning. Liberal use of examples helps the reader connect with concepts and techniques in machine learning, which constitutes roughly two-thirds of the text. Discussions of the digital age and computer infrastructure diverge from the main narrative of novel computation, but might prove valuable for those who have less experience with computers. The author introduces questions of ethical data stewardship, which is important given how well this new paradigm has performed and the promise it holds. As a non-mathematical survey of ideas and approaches in machine learning that animate data into solutions, this book is largely a success. I recommend it for readers early in their acquaintance with the new AI.