Numbercrunch (eBook)

A Mathematician's Toolkit for Making Sense of Your World

Professor Oliver Johnson (Autor)

eBook Download: EPUB

2023
224 Seiten
Blink Publishing (Verlag)
978-1-78870-835-7 (ISBN)

Infos

'Lucid and entertaining. With barely an equation in sight, Numbercrunch makes a passionate case for how just a little bit more numeracy could help us all' - Tom Whipple, The Times'The perfect introduction to the power of mathematics - fluent, friendly and practical' - Tim Harford, bestselling author of How to Make the World Add UpIn our hyper-modern world, we are bombarded with more facts, stats and information than ever before. So, what can we grasp hold of to make sense of it all? Oliver Johnson reveals how mathematical thinking can help us understand the myriad data all around us. From the exponential growth of viruses to social media filter-bubbles; from share price fluctuations to the cost of living; from the datafication of our sports pages to quantifying climate change. Not to mention the things much closer to home: ever wondered when the best time is to leave a party? What are the chances of rain ruining your barbecue this weekend? How about which queue is the best to join in the supermarket?Journeying through three sections - Randomness, Structure, and Information - we meet a host of brilliant minds, such Alan Turing, Enrico Fermi and Claude Shannon, and are equipped with the tools to cut through the noise all around us - from the Law of Large Numbers to Entropy to Brownian Motion. Lucid, surprising, and endlessly entertaining, Numbercrunch equips you with a definitive mathematician's toolkit to make sense of your world.

Produkt-Details

• Erscheint lt. Verlag: 2.3.2023
• Sprache: englisch
• Themenwelt: Mathematik / Informatik ► Mathematik ► Geschichte der Mathematik
• Themenwelt: Mathematik / Informatik ► Mathematik ► Mathematische Spiele und Unterhaltung
• Themenwelt: Naturwissenschaften
• Schlagworte: Accounting • Ada Lovelace • Alan Turing • Alan Turning • Alan Turning Bayes Theorem Enrico Fermi datafication disinformation Tim Harford • Ananyo Bhattacharya • Bayes Theorem • Carol Vorderman • Claude Shannon • Covid • Datafication • david spiegelhalter • David Sumpter • disinformation • Economic Systems • Enrico Fermi • Entropy • filter bubbles • filter bubbles randomness Covid graphs Ada Lovelace Claude Shannon • Financial Planning • Graphs • Hannah Fry • history of maths • history of maths statistics information information theory probability • Information • Information Theory • logarithm • Macroeconomics • Martin Lewis • Maths • Maths popular maths popular science • Microeconomics • Mind Body & Spirit Self Help • Personal Financial Investing • personal money management • Philosophy • Popular maths • Popular science • Probability • professional finance • randomness • Social Sciences • Statistics • Tim Chivers • Tim Harford • Tom Whipple • Undercover Economist • understanding numbers
• ISBN-10: 1-78870-835-0 / 1788708350
• ISBN-13: 978-1-78870-835-7 / 9781788708357