Art Beyoaction Analysis For Animators

This 10th Anniversary Edition of Force: Animal Drawing: Animal Locomotion and Design Concepts for
Animators offers readers an enlarged and an enhanced selection of images that apply FORCE to animals.
With larger images, readers can better appreciate and learn how to bring their own animal illustrations to life.

In this book the author draws inspiration from Sun Tzu's Art of War, a work that explains conflict between nations, and he applies this to the computer security setting, examining how we should consider protecting information systems from accidents or malicious attacks.

Bayesian methods are increasingly being used in the social sciences, as the problems encountered lend themselves so naturally to the subjective qualities of Bayesian methodology. This book provides an accessible introduction to Bayesian methods, tailored specifically for social science students. It contains lots of real examples from political science, psychology, sociology, and economics, exercises in all chapters, and detailed descriptions of all the key concepts, without assuming any background in statistics beyond a first course. It features examples of how to implement the methods using WinBUGS – the most-widely used Bayesian analysis software in the world – and R – an open-source statistical software. The book is supported by a Website featuring WinBUGS and R code, and data sets.

What is the difference between a static and a dynamic character? Do you have other story structures besides the 'Once upon a time' method? Did you know there are 16 most common archetypes in mainstream film and television? What techniques and cheat sheets can you use to develop your story and characters?

The market for art can be as eye-catching as artworks themselves. Works by artists from da Vinci and Rembrandt to Picasso and Modigliani have sold for hundreds of millions of dollars. The world's ultrawealthy increasingly treat art as part of their portfolios. Since artworks are often valuable assets, how should financial professionals analyze them?

The field of natural language processing (NLP) is one of the most important and useful application areas of artificial intelligence. NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for natural language processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in natural language processing.