A concise, easy-to-understand guide to using neural networks in data mining for mathematics, engineering, psychology, and computer science applications, this book compares how neural network models and statistical models are used to tackle data analysis problems. It focuses on the top of the hierarchy of the computational process and shows how neural networks can perform traditional statistical methods of analysis. The book includes some classical and Bayesian statistical inference results and employs R to illustrate the techniques.
This book is written for the person who knows nothing about buying or selling stocks but would like to start investing in these types of securities. It begins with how a public traded company originates and becomes available to being bought and sold by the general public. Basic words and terms are explained and how they are used to describe and compare a potential value of different businesses. The book goes on to explain conservative investment strategies in what should be avoided to prevent excessive losses. Information in this book, if followed, will give an absolute beginner the knowledge to go on to accumulate a substantial estate.
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Victorian Petroleum Companies