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It's never too early to start learning about finance. But the mathematics covered in this book is not the mathematics of balancing your check book, or splitting a restaurant bill among friends, some of whom had the set menu, and others the specials. The mathematics here is an introduction to the subject known as mathematical finance, quantitative finance or financial engineering. It's an introduction to the higher level of mathematics used in ...

This is the book that introduces schoolchildren to the mathematics behind Artificial Intelligence! There are books with no mathematics, just the description of what AI can do. Then there are books with no mathematics, just lots of computer code. And there are books with lots and lots of mathematics which are incomprehensible without a degree in mathematics. But there aren't books like this one! This book is for children who are confident...

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2nd edition. Provides bite-sized gems of wisdom, offering instant insight into what works and what doesn't in quantitative finance. Reveals the common mistakes and offers advice on what to do when theory and practice diverge.

Maschinelles Lernen - alle Grundlagen! Paul Wilmott ist für seine erhellende und unterhaltsame Darstellung angewandter Mathematik bekannt. Von der linearen Regression bis zu Neuronalen Netzwerken führt er Sie durch alle Verfahren, und zwar komplett Software-unabhängig. Der Vorteil dabei: Jeder Schritt ist schwarz auf weiß zu sehen, kein Framework kann etwas "verstecken", es geht immer um die Sache selbst. Mit vielen Beispielen, Grafiken und Sc...

Machine Learning: An Applied Mathematics Introduction covers the essential mathematics behind all of the following topics K Nearest Neighbours K Means Clustering Naïve Bayes Classifier Regression Methods Support Vector Machines Self-Organizing Maps Decision Trees Neural Networks Reinforcement LearningThe book includes many real-world examples from a variety of fields including finance (volatility modelling) economics (interest rates, inflation...

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Paul Wilmott Introduces Quantitative Finance, Second Edition is an accessible introduction to the classical side of quantitative finance specifically for university students. Adapted from the comprehensive, even epic, works Derivatives and Paul Wilmott on Quantitative Finance, Second Edition, it includes carefully selected chapters to give the student a thorough understanding of futures, options and numerical methods. Software is included to h...

The authors describe the modelling of financial derivative products from an applied mathematician's viewpoint.

November 11th 2003 saw a landmark event take place in London. As the first conference designed for quants by quants the Quantitative Finance Review 2003, moved away from the anonymous bazaars that have become the norm, and instead delivered valuable information to market practitioners with the greatest interest. The roster of speakers was phenomenal, ranging from founding fathers to bright young things, discussing the latest developments, with...

New ideas in quantitative finance are always welcome, especially so in recent years as new techniques have steadily gained in popularity and old techniques have become more sophisticated. This book features new contributions from many highly regarded individuals, collected together by Paul Wilmott and Henrik Rasmussen. Subjects featured include new techniques for: * Risk Management * Equity Modelling * Interest Rate Modelling This book is a w...