A01=Chris Bernhardt
Age Group_Uncategorized
Age Group_Uncategorized
ai
artificial intelligence
Author_Chris Bernhardt
automatic-update
business
business books
capitalism
Category1=Non-Fiction
Category=PB
Category=PBK
communication
computer science
computers
COP=United States
creativity
culture
data
Delivery_Pre-order
design
economics
education
eq_isMigrated=2
eq_nobargain
evolution
finance
geography
history
history books
innovation
internet
investing
Language_English
marketing
math
math book
math books
mathematical thinking
mathematics
mathematics books
mathematics history
maths
numbers
PA=Not yet available
philosophy
political books
politics
pop culture
Price_€20 to €50
programming
PS=Forthcoming
psychology
social
society
sociology
sociology books
softlaunch
statistics
strategy
technology
work
Product details
- ISBN 9780262549776
- Dimensions: 152 x 229mm
- Publication Date: 17 Sep 2024
- Publisher: MIT Press Ltd
- Publication City/Country: US
- Product Form: Hardback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
From the bestselling author of Quantum Computing for Everyone, a concise, accessible, and elegant approach to mathematics that not only illustrates concepts but also conveys the surprising nature of the digital information age. Most of us know something about the grand theories of physics that transformed our views of the universe at the start of the twentieth century: quantum mechanics and general relativity. But we are much less familiar with the brilliant theories that make up the backbone of the digital revolution. In Beautiful Math, Chris Bernhardt explores the mathematics at the very heart of the information age. He asks questions such as: What is information? What advantages does digital information have over analog? How do we convert analog signals into digital ones? What is an algorithm? What is a universal computer? And how can a machine learn? The four major themes of Beautiful Math are information, communication, computation, and learning. Bernhardt typically starts with a simple mathematical model of an important concept, then reveals a deep underlying structure connecting concepts from what, at first, appear to be unrelated areas. His goal is to present the concepts using the least amount of mathematics, but nothing is oversimplified. Along the way, Bernhardt also discusses alphabets, the telegraph, and the analog revolution; information theory; redundancy and compression; errors and noise; encryption; how analog information is converted into digital information; algorithms; and finally, neural networks. Historical anecdotes are included to give a sense of the technology at that time, its impact, and the problems that needed to be solved. Taking its readers by the hand, regardless of their math background, Beautiful Math is a fascinating journey through the mathematical ideas that undergird our everyday digital interactions.
Chris Bernhardt was a professor of mathematics at Fairfield University for over 30 years before he retired. His books include Turing s Vision: The Birth of Computer Science and Quantum Computing for Everyone, both published by the MIT Press.
