With important new revelations into the Russian hacking of the 2016 Presidential campaigns

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“[Andrei Soldatov is] the single most prominent critic of Russia’s surveillance apparatus.”

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—Edward Snowden

After the Moscow protests in 2011–2012, Vladimir Putin became terrified of the internet as a dangerous means for political mobilization and uncensored public debate. Only four years later, the Kremlin used that same platform to disrupt the 2016 presidential election in the United States. How did this transformation happen?

The Red Web is a groundbreaking history of the Kremlin’s massive online-surveillance state that exposes just how easily the internet can become the means for repression, control, and geopolitical warfare. In this bold, updated edition, Andrei Soldatov and Irina Borogan offer a perspective from Moscow with new and previously unreported details of the 2016 hacking operation, telling the story of how Russia came to embrace the disruptive potential of the web and interfere with democracy around the world.

A Library Journal Best Book of 2015

A NPR Great Read of 2015

Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask.

Machine learning is the automation of discovery-the scientific method on steroids-that enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Pedro Domingos, one of the field’s leading lights, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He charts a course through machine learning’s five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. Step by step, he assembles a blueprint for the future universal learner-the Master Algorithm-and discusses what it means for you, and for the future of business, science, and society.

If data-ism is today’s rising philosophy, this book will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. A groundbreaking book, The Master Algorithm is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront.