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A toe curling, laugh out loud collection of worst day disasters. I’d always rolled my eyes when people describe things as 'happening in slow motion'. Surely everything happens in regular time and it's only when you replay it in your head that it seems to slow down?But as the car lurched forward and I found myself sailing through the back of the garage, I finally understood what they meant. When a trip to meet his new girlfriend’s grandparents ends in disaster (think a crashed ute, an angry wasp and a cranky farmer with a shotgun), Thomas Mitchell knows one thing for sure: bad days make for great stories. While we might not like to admit it, we can't help but find a sneaky pleasure in oth...
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A collection of essays written immediately before the First World War, and unpublished since. They reflect a way of life and an optimism that has never properly been regained.
One of the currently most active research areas within Artificial Intelligence is the field of Machine Learning. which involves the study and development of computational models of learning processes. A major goal of research in this field is to build computers capable of improving their performance with practice and of acquiring knowledge on their own. The intent of this book is to provide a snapshot of this field through a broad. representative set of easily assimilated short papers. As such. this book is intended to complement the two volumes of Machine Learning: An Artificial Intelligence Approach (Morgan-Kaufman Publishers). which provide a smaller number of in-depth research papers. Ea...
This text considers landscape not simply as an object to be seen or a text to be read, but as an instrument of cultural force, a central tool in the creation of national and social identities. This edition adds a new preface and five new essays.
Explores the issues that shape the production and presentation of news in the twenty-first century, with case studies depicting real-life moments in which people in the news had to make critical decisions.
The ability to learn is one of the most fundamental attributes of intelligent behavior. Consequently, progress in the theory and computer modeling of learn ing processes is of great significance to fields concerned with understanding in telligence. Such fields include cognitive science, artificial intelligence, infor mation science, pattern recognition, psychology, education, epistemology, philosophy, and related disciplines. The recent observance of the silver anniversary of artificial intelligence has been heralded by a surge of interest in machine learning-both in building models of human learning and in understanding how machines might be endowed with the ability to learn. This renewed i...