Showing results for "We" in Mathematics

Britain’s most famous mathematician takes us to the edge of knowledge to show us what we cannot know. Is the universe infinite? Do we know what happened before the Big Bang? Where is human consciousness located in the brain? And are there more undiscovered particles out there, beyond the Higgs...

A gripping exploration of how cartography shapes our world and the impact of maps on our everyday lives. ‘If you have ever wondered why an airliner bound from London to Los Angeles flies over Greenland, how we know what lies inside the Earth, or how computers correct errors, then this book is...

How do mathematical models shape our world - and how can we harness their power for good? Models are at the centre of everything we do. Whether we use them or are simply affected by them, they act as metaphors that help us better understand the increasingly complex problems facing us in the...

In The Pricing Model Revolution: How Pricing Will Change the Way We Sell and Buy On and Offline, world renowned pricing expert Danilo Zattais delivers an essential and engaging blueprint to building an enduring competitive advantage with insightful pricing models. In the book, you'll learn to identify the best monetization approaches for your products and how to execute the one that makes the most sense for your business. From freemium to subscription, pay-per-use, and even neuropricing, the author discusses every available option and shows you how to choose. 

A sweeping inquiry into how the night sky has shaped human history For as long as humans have lived, we have lived beneath the stars. But under the glow of today’s artificial lighting, we have lost the intimacy our ancestors once shared with the cosmos. In Starborn, cosmologist Roberto Trotta...

Two leading data scientists offer an up-close and user-friendly look at artificial intelligence: what it is, how it works, where it came from and how to harness its power for a better world. Dozens of times per day, we all interact with intelligent machines that are constantly learning from the wealth of data now available to them. These machines, from smartphones to talking robots to self-driving cars, are remaking the world in the 21st century in the same way that the Industrial Revolution remade the world in the 19th.

In the 18th century, the British minister and mathematician Thomas Bayes devised a theorem that allowed him to assign probabilities to events that had never happened before. It languished in obscurity for centuries until computers came along and made it easy to crunch the numbers. Now, as the foundation of big data, Bayes's formula has become a linchpin of the digital economy. But here's where things get interesting: Bayes's theorem can also be used to lay odds on the existence of extraterrestrial intelligence, and on the biggest question of all: how long will humanity survive?

INSTANT NEW YORK TIMES BESTSELLER “Provocative but perceptive . . . You can agree or disagree with Smil—accept or doubt his ‘just the facts’ posture—but you probably shouldn’t ignore him.”—The Washington Post An essential analysis of the modern science and technology that makes...

'Historical insights and human stories . . . Highly readable' - Ian Stewart, author of What's the Use? 'An adventure' - Edward Brooke-Hitching, author of The Phantom Atlas How does a delivery driver distribute hundreds of packages in a single working day? Why does remote Alaska have such a large...

What Are the Chances? reveals how psychology and neuroscience explain the significance of the idea of luck. Barbara Blatchley explores how people react to random events in a range of circumstances, examining the evidence that the belief in luck helps us cope with a lack of control. She tells the stories of lucky and unlucky people as well as the accidental discoveries that fundamentally changed what we know about the brain.

What do people do when they count? What do numbers really mean? We all know that people can lie with statistics, but in this groundbreaking work, eminent political scientist Deborah Stone uncovers a much deeper problem. With help from Dr. Seuss and Cookie Monster, she explains why numbers can't be objective: in order to count, one must first decide what counts. Every number is the ending to a story built on cultural assumptions, social conventions, and personal judgments.