Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications
Nassim Nicholas Taleb provides a rigorous mathematical foundation for understanding extreme events in this inaugural volume of the Technical Incerto series. The text explores how traditional statistical methods fail when applied to fat tailed distributions, where rare outliers exert a dominant influence on the total. Taleb argues that most real world phenomena do not follow the thin tailed Gaussi…
Shelves
More like this
Introduction to Automata Theory, Languages, and Computation
It has been more than 20 years since this classic book on formal languages, automata theory, and computational complexity was first published. Wit…
Nine Algorithms That Changed the Future: The Ingenious Ideas That Drive Today's Computers
Every day, we use our computers to perform remarkable feats. A simple web search picks out a handful of relevant needles from the world's biggest …
Turing's Cathedral: The Origins of the Digital Universe
“It is possible to invent a single machine which can be used to compute any computable sequence,” twenty-four-year-old Alan Turing announced in 19…
The Hundred-Page Machine Learning Book
Concise and to the point — the book can be read during a week. During that week, you will learn almost everything modern machine learning has to o…
Think Complexity: Complexity Science and Computational Modeling
Expand your Python skills by working with data structures and algorithms in a refreshing context―through an eye-opening exploration of complexity …
From Mathematics to Generic Programming
In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles o…
Algorithms (138563)
This text, extensively class-tested over a decade at UC Berkeley and UC San Diego, explains the fundamentals of algorithms in a story line that ma…
Computers and Intractability: A Guide to the Theory of NP-Completeness
In computer science, more specifically computational complexity theory, Computers and Intractability: A Guide to the Theory of NP-Completeness is …
Programming in Haskell
Haskell is one of the leading languages for teaching functional programming, enabling students to write simpler and cleaner code, and to learn how…
Make Your Own Neural Network
A gentle journey through the mathematics of neural networks, and making your own using the Python computer language. Neural networks are a …
The Black Swan: The Impact of the Highly Improbable
Nassim Nicholas Taleb challenges our obsession with predictability in a world governed by the unexpected. He introduces the concept of a black swa…
Information Theory, Inference, and Learning Algorithms
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exc…