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Very Short Introductions: Brilliant, sharp, inspiringThe 17th-century calculus of Newton and Leibniz was built on shaky foundations, and it wasn't until the 18th and 19th centuries …
To date, statistics has tended to be neatly divided into two theoretical approaches or frameworks: frequentist (or classical) and Bayesian. Scientists typically choose the …
Data analysis has been a hot topic for a number of years, and many future data scientists have backgrounds that are relatively light in mathematics. This slim volume provides a …
'A must-read to anyone interested in the digital world.' - Valerie Schafer, Center for Contemporary and Digital History, University of LuxembourgA concise history of the digital …
Established in the early seventeenth century following a bequest to the university by Sir William Sedley, Oxford's Sedleian Professorship of Natural Philosophy is one of the …
What makes mathematics so special?Whether you have anxious memories of the subject from school, or solve quadratic equations for fun, David Acheson's book will make you look at …
Eratosthenes and the Measurement of the Earth's Circumference (c.230 BC) is an innovative and thought-provoking examination of one of the pivotal moments in the history of science. …
Complex Analysis is the powerful fusion of the complex numbers (involving the 'imaginary' square root of -1) with ordinary calculus, resulting in a tool that has been of central …
Traditional literature in mathematical physics is clustered around classical mechanics, especially fluids and elasticity. This book reflects the modern development of theoretical …
Essential Statistics for Data Science: A Concise Crash Course is for students entering a serious graduate program or advanced undergraduate teaching in data science without knowing …