Showing titles in Mathematics

SHORTLISTED FOR THE BRITISH SOCIETY FOR THE HISTORY OF SCIENCE PRIZE 2025 SHORTLISTED FOR THE NEUMANN PRIZE 2025 WHAT DOES IT MEAN TO COUNT? WHY ARE HUMANS THE ONLY SPECIES ON EARTH THAT CAN DO IT? WHERE DID COUNTING COME FROM? HOW HAS IT SHAPED SOCIETIES ALONG THE WAY? AND WHY DOES IT MATTER?...

Mathematician Ian Stewart tells listeners what he wishes he had known when he was a student. He takes up subjects ranging from the philosophical to the practical - what mathematics is and why it’s worth doing, the relationship between logic and proof, the role of beauty in mathematical thinking, the future of mathematics, how to deal with the peculiarities of the mathematical community, and many others.

In Once Upon an Algorithm, Martin Erwig explains computation as something that takes place beyond electronic computers, and computer science as the study of systematic problem solving. Erwig points out that many daily activities involve problem solving. Getting up in the morning, for example: You get up, take a shower, get dressed, eat breakfast. This simple daily routine solves a recurring problem through a series of well-defined steps. In computer science, such a routine is called an algorithm. 

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.

In the dynamic world of finance, artificial intelligence is no longer the future—it’s the present. Yet for many everyday investors, the rapid rise of AI-driven tools can feel overwhelming, opaque, or simply out of reach. If you’ve ever asked yourself how to adopt AI in your portfolio or wondered whether the next breakthrough algorithm could power your financial success, this book is your comprehensive guide.

Uncertainty is everywhere. It lurks in every consideration of the future - the weather, the economy, the sex of an unborn child - even quantities we think that we know such as populations or the transit of the planets contain the possibility of error. It's no wonder that, throughout that history, we have attempted to produce rigidly defined areas of uncertainty....

Make better decisions with this easy deconstructed guide to data analytics. Want to add data analytics to your skill stack? Having trouble finding where to start? Cell-by-cell, bit-by-bit, this audiobook teaches you the vocabulary, tools, and basic algorithms to think like a data scientist. Like putting together a complex Lego set, each section connects and adds individual blocks of knowledge to build your data literacy. This linear structure to unpacking data analytics takes you from zero to confidently analyzing and discussing data problems.

The Math(s) Fix: An Education Blueprint for the AI Age is a groundbreaking book that exposes why math education is in crisis worldwide and how the only fix is a fundamentally new mainstream subject. It argues that today's math education is not working to elevate society with modern computation, data science, and AI. Instead, students are subjugated to compete with what computers do best and lose.

This is the book that Daniel Tammet, best-selling author and mathematical savant, was born to write. In Tammet's world, numbers are beautiful and mathematics illuminates our lives and minds. Using anecdotes and everyday examples, Tammet allows us to share his unique insights and delight in the way numbers, fractions and equations underpin all our lives.

iOS Programming: Starter Guide: What Every Programmer Needs to Know About iOS Programming is a precise and concise book for any programmmer to get a quick grasp of the intricacies of iOS and how to master it quickly.

Looking to get started in engineering? Well, you’ve come to the right podcast! Welcome to Your Guide to Engineering. I’m your host, Ashley! I’m here to help you build the confidence and mindset required to engineer your future — one episode at a time. So, if you’re brushing up on math after years away, trying to pass that one class standing between you and engineering, or just wondering if it’s too late, this podcast is here to tell you it’s not. You belong in engineering and we’re going to figure it out together.

The Isaac Newton Institute is the world's foremost mathematical research centre. Living Proof aims to highlight the diverse people and interconnected topics linked to its many activities. Interviewees range from visiting academics and lecturers to mathematicians, other scientists, musicians, artists, students, and prominent figures within the University of Cambridge and beyond. The podcast typically involves mathematical themes, but is specifically aimed at a general audience. The focus is on the subjects being interviewed and the social stories they have to tell, not just on the significance ...

Brought to you by Penguin. How should a democracy choose its representatives? How does disease spread? How do computers teach themselves chess, and why is chess easier for them than analyzing a sentence? What should your kids study in school if they really want to learn to think? All of these...

What if randomness isn’t truly random? In When Randomness Forms Patterns, Mohanad Asim Mustafa explores 17 years of lottery data to uncover hidden structures beneath what appears to be pure chance. Through real-world datasets, clustering models, and analytical thinking, this book challenges the way we perceive randomness, probability, and patterns. Whether you're interested in data science, statistics, or simply curious about how patterns emerge from chaos, this audiobook will change how you think about numbers forever. This is not about predicting the lottery.

E=mc2 was born in 1905, the brainchild of Albert Einstein. In this lucid and brilliant book, one of the best popularizers of science illuminates one of science's most complex concepts. Ranging widely from Exit signs in theatres to the future fate of the earth, from smoke detectors to black holes...

A rich, narrative explanation of the mathematics that has brought us machine learning and the ongoing explosion of artificial intelligence Machine learning systems are making life-altering decisions for us: approving mortgage loans, determining whether a tumour is cancerous, or deciding whether...

How math helps us solve the universe's deepest mysteriesOne of the great insights of science is that the universe has an underlying order. The supreme goal of physicists is to understand this order through laws that describe the behavior of the most basic particles and the forces between them...

August, 1755. Newcastle, on the north bank of the Tyne. In the fields, men and women are getting the harvest in. Sunlight, or rain. Scudding clouds and backbreaking labour. Three hundred feet underground, young Charles Hutton is at the coalface. Cramped, dust-choked, wielding a five-pound pick...

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

Conversations about artificial intelligence, machine learning, and healthcare relevant for physicians, nurse practitioners, physician assistants, pharmacists, residents, students, and other clinicians.