Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent
sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer
databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing
the knowledge as to... Validated Designs for Object-oriented Systems Object-oriented design methods are commonplace in computing systems development, but are often dismissed as 'boxes & arrows'. If systems developers are to gain full advantage from such methods, they should be able to achieve designs that are not merely the subject of heated argument, but can be improved by careful, rigorous &...
Economics For Dummies®, 2nd Edition
Economics is all about humanity’s struggle to achieve happiness in a world full of constraints. Too little time and money is available to do everything people want. And things like curing cancer are still impossible because the necessary technologies haven’t yet been developed.
But people are clever. They tinker and...
Java for Data Science
Examine the techniques and Java tools supporting the growing field of data science About This Book Your entry ticket to the world of data science with the stability and power of Java Explore, analyse, and visualize your data effectively using easy-to-follow examples Make your Java applications more capable using machine learning Who This Book Is... Brownian Motion Calculus
Brownian Motion Calculus presents the basics of Stochastic Calculus with a focus on the valuation of financial derivatives. It is intended as an accessible introduction to the technical literature. The sequence of chapters starts with a description of Brownian motion, the random process which serves as the basic driver...
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