🧲 Books like this
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie, Robert Tibshirani, Jerome Friedman · back to the book
What’s in it
Tap a tag: ❤ = this matters to me · tap again ✕ = don’t care · again to reset. The list below updates each time.
24 books with the same feel
Include books by the same authorThe Visual Display of Quantitative Information
Edward R. Tufte · 197 pages
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relat
Linked: The New Science of Networks
Albert-Laszlo Barabasi · 294 pages
A cocktail party. A terrorist cell. Ancient bacteria. An international conglomerate. All are networks, and all are a part of a surprising scientific revolution. Albert-Laszlo Barabasi, the nations foremost expert in the new science of networks, takes us on an intellectual adventure to prove that social networks, corporations, and living organisms are more similar than previoulsy thought. Grasping
Pattern Recognition and Machine Learning
Christopher M. Bishop · 738 pages
Cybernetics: or the Control and Communication in the Animal and the Machine
Norbert Wiener · 212 pages
Acclaimed one of the "seminal books ... comparable in ultimate importance to ... Galileo or Malthus or Rousseau or Mill", Cybernetics was judged by twenty-seven historians, economists, educators, and philosophers to be one of those books published during the "past four decades," which may have a substantial impact on public thought and action in the years ahead."--Saturday Review.
A Beautiful Mind
Sylvia Nasar · 460 pages
Relates how mathematical genius John Forbes Nash, Jr., suffered a breakdown at age thirty-one and was diagnosed with schizophrenia, but experienced a remission of his illness thirty years later.
Graph Drawing and Network Visualization
Patrizio Angelini, Reinhard von Hanxleden · 499 pages
This book constitutes the proceedings of the 30th International Symposium on Graph Drawing and Network Visualization, GD 2022, held in Tokyo, Japan, during September 13-16, 2022. The 25 full papers, 7 short papers, presented together with 2 invited talks, one report on graph drawing contest, and one obituary in these proceedings were carefully reviewed and selected from 70 submissions. The abstrac
Compilers: Principles, Techniques, and Tools
Alfred V. Aho, Ravi Sethi, Jeffrey D. Ullman · 810 pages
This book covers topics related to the functionality and design of compilers, including: - Compiler structure - Lexical analysis (including regular expressions and finite automata) - Syntax analysis (including context-free grammars, LL parsers, bottom-up parsers, and LR parsers) - Syntax-directed translation - Type checking (including type conversions and polymorphism) -
Isaac Newton
James Gleick · 272 pages
"In this biography, James Gleick moves between a comprehensive historical portrait and a dramatic focus on Newton's significant letters and unpublished notebooks to illuminate the real importance of his work in physics, in optics, and in calculus. He makes us see the old intuitive, alchemical universe out of which Newton's mathematics first arose and shows us how Newton's ideas have altered all fo
Statistics Done Wrong: The Woefully Complete Guide
Alex Reinhart · 152 pages
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine
The Art of Computer Programming, Volume 1: Fundamental Algorithms
Donald Ervin Knuth
A History of π
Petr Beckmann · 204 pages
The history of pi, says the author, though a small part of the history of mathematics, is nevertheless a mirror of the history of man. Petr Beckmann holds up this mirror, giving the background of the times when pi made progress and also when it did not, because science was being stifled by militarism or religious fanaticism. The mathematical level of this book is flexible, and there is plenty for
The Man Who Loved Only Numbers: The Story of Paul Erdős and the Search for Mathematical Truth
Paul Hoffman · 301 pages
"Paul Erdos, the most prolific and eccentric mathematician of our time, forsook all creature comforts - including a hometo pursue his lifelong study of numbers. He was a man who possessed unimaginable powers of thought yet was unable to manage some of the simplest daily tasks." "For more than six decades, Erdos lived out of two tattered suitcases, crisscrossing four continents at a frenzied pace,
The Joy of x: A Guided Tour of Math, from One to Infinity
Steven H. Strogatz · 336 pages
Many people take math in high school and promptly forget much of it. But math plays a part in all of our lives all of the time, whether we know it or not. In The Joy of x, Steven Strogatz expands on his hit New York Times series to explain the big ideas of math gently and clearly, with wit, insight, and brilliant illustrations. Whether he is illuminating how often you should flip your mattress
The Music of the Primes: Searching to Solve the Greatest Mystery in Mathematics
Marcus du Sautoy · 351 pages
Concrete Mathematics: A Foundation for Computer Science
Ronald L. Graham, Donald Ervin Knuth, Oren Patashnik · 657 pages
"This book introduces the mathematics that supports advanced computer programming and the analysis of algorithms. The primary aim of its well-known authors is to provide a solid and relevant base of mathematical skills - the skills needed to solve complex problems, to evaluate horrendous sums, and to discover subtle patterns in data. It is an indispensable text and reference not only for computer
The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
David Salsburg · 352 pages
Discusses how statistics have changed the field of science in the twentieth century, focusing on the theories and ideas of famous scientists and thinkers.
The Clockwork Universe: Isaac Newton, the Royal Society, and the Birth of the Modern World
Edward Dolnick · 398 pages
An Introduction to Information Theory: Symbols, Signals and Noise
John Robinson Pierce · 305 pages