Why did I love this book?
In my experience, most of the books about AI and machine learning are written by people coming from a technical background. The thing I found refreshing about this book is that the authors are economists, not technologists. Therefore, they bring a somewhat different perspective to the subject. In particular, focusing on the fact that the foundation of almost all successful AI-based technologies is providing better ways to predict things of interest. This covers a huge range of applications from object recognition, to fraud prevention to strategic forecasting, and everything in between.
3 authors picked Prediction Machines as one of their favorite books, and they share why you should read it.
"What does AI mean for your business? Read this book to find out." -- Hal Varian, Chief Economist, Google Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.
But in Prediction Machines, three eminent economists recast the rise of AI…