Though you might not be aware of it, Machine learning algorithms are already seeping into every aspect of human life, becoming more and more powerful as they continue to learn from an ever-increasing amount of data. The Master Algorithm (2016) provides a broad overview of what kind of algorithms are already out there, the problems they face, the solutions they can provide and how they’re going to revolutionize the future.

One of the world’s greatest mysteries is how a pound of gray jelly in the head of a newborn can eventually produce a stream of consciousness, able to perceive the world and interact with it. Maybe more astounding is how little teaching the brain requires while it’s undergoing this transformation.

No machine in the history of mankind has a learning capacity comparable to the human brain. But things are changing. Our ability to create ever more sophisticated machines means that, in the future, they may be able to challenge the brain.

Machines may even surpass human ability. They can learn from the enormous amounts of data that we encounter and ignore every day. So let’s put on our thinking caps and explore the fascinating world of algorithms and machine learning.

In this summary of The Master Algorithm by Pedro Domingos, you’ll find out

• how machines will be able to learn without instruction in the future;
• why seeing patterns sometimes is a problem; and
• how an algorithm for winning Tetris could improve your route to work.

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