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The best part of this book is that it brings the whole conversation concisely into one place. You can read other related books & articles & reconstitute all of the knowledge & stories here... but this book is an easy button to have yourself a virtual conversation with the refinement of proper book editing. It was worth my while but not something I studied & took notes on as more groundbreaking works.
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I found the book to be interesting, though it lacks a clear path to start acting like a mathematical corporation. I was hoping to find proper clues on how to dive into the datasets of our own company. But instead the author just mentions that you should teach your data scientists to act like data scientists.
There's soom good generic information in the book, like a proper explanation of privacy risks, information biases and things like that. I just wasn't getting practical information out of this book. It's not for the techy audience.
Inspiring, well researched and informative look at an important topic of today - the possibility and necessity of humans collaborating with machines to address global challenges and create a better future.
The book examines the implications of using machine learning in business and society and what this means for anyone in leadership position and in fact, everyone else.