Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The... Processing: A Programming Handbook for Visual Designers and Artists It has been more than twenty years since desktop publishing reinvented design, and it's clear that there is a growing need for designers and artists to learn programming skills to fill the widening gap between their ideas and the capability of their purchased software. This book is an introduction to the concepts of computer programming within the...
Software Abstractions : Logic, Language, and Analysis Software is built on abstractions. Pick the right ones, and programming
will flow naturally from design; modules will have small and simple interfaces;
and new functionality will more likely fit in without extensive
reorganization. Pick the wrong ones, and programming will be a series
of nasty surprises: interfaces will become...
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