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Model-Based Machine Learning
Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications th...
Pattern Recognition and Machine Learning
This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.
Natural Agency
From a moral point of view we think of ourselves as capable of responsible actions. From a scientific point of view we think of ourselves as animals whose behavior, however highly evolved, conforms to natural scientific laws. Natural Agency argues that these different perspectives can be reconciled, despite the skepticism of many philosophers who have argued that "free will" is impossible under "scientific determinism." This skepticism is best overcome according to the author, by defending a causal theory of action, that is by establishing that actions are constituted by behavioral events with the appropriate kind of mental causal history. He sets out a rich and subtle argument for such a theory and defends it against its critics. Thus the book demonstrates the importance of philosophical work in action theory for the central metaphysical task of understanding our place in nature.
Astrophysics
A concise text covering aspects of astrophysics required for A' Level physics. Topics include the physical processes that govern stars, galaxies and other large-scale structures in the universe, covering investigative techniques and the physics that describes these distant objects.
A New History of Christianity
Written from an objective historical perspective, A New History of Christianity provides the best readable yet scholarly one-volume account of Christianity from its origins to the present day.Chapters cover Christian beginnings, the growth of the early Christian communities, the character of the medieval Church, popular religion, the Protestant Reformation, the Catholic Reformation, the early modern Church, the Church in the nineteenth century, the Church in war and peace, and the crisis of the modern Church>
