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Four Footed Doctor
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Walnut the Squirrel
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Strategic Analysis Of Financial Markets, The (In 2 Volumes)
Volume 1 of 'The Strategic Analysis of Financial Markets,' — Framework, is premised on the belief that markets can be understood only by dropping the assumptions of rationality and efficient markets in their extreme forms, and showing that markets still have an inherent order and inherent logic. But that order results primarily from the 'predictable irrationality' of investors, as well as from people's uncoordinated attempts to profit. The market patterns that result do not rely on rationality or efficiency.A framework is developed for understanding financial markets using a combination of psychology, statistics, game and gambling analysis, market history and the author's experience. It ex...
Color Me Backgammon
A backgammon coloring book for players of all ages and levels, with 10 positions analyzed by world class experts.
Neo-Bohemia
Neo-Bohemia brings the study of bohemian culture down to the street level, while maintaining a commitment to understanding broader historical and economic urban contexts. Simultaneously readable and academic, this book anticipates key urban trends at the dawn of the twenty-first century, shedding light on both the nature of contemporary bohemias and the cities that house them. The relevance of understanding the trends it depicts has only increased, especially in light of the current urban crisis puncturing a long period of gentrification and new economy development, putting us on the precipice, perhaps, of the next new bohemia.
Applications of Neural Networks
Applications of Neural Networks gives a detailed description of 13 practical applications of neural networks, selected because the tasks performed by the neural networks are real and significant. The contributions are from leading researchers in neural networks and, as a whole, provide a balanced coverage across a range of application areas and algorithms. The book is divided into three sections. Section A is an introduction to neural networks for nonspecialists. Section B looks at examples of applications using `Supervised Training'. Section C presents a number of examples of `Unsupervised Training'. For neural network enthusiasts and interested, open-minded sceptics. The book leads the latter through the fundamentals into a convincing and varied series of neural success stories -- described carefully and honestly without over-claiming. Applications of Neural Networks is essential reading for all researchers and designers who are tasked with using neural networks in real life applications.
