Learn statistical reasoning and problem solving from a best--selling author who uses a wealth of examples from the social and behavioral sciences,, education,, nursing/allied health,, and business fields----as well as examples from everyday life--to help you learn and understand.. Praised for his clear explanations,, Spatz shows you how to...

Artificial Intelligence (AI) is a big field, and this is a big book. We have tried to explore the full breadth of the field, which encompasses logic, probability, and continuous mathematics; perception, reasoning, learning, and action; and everything from microelectronic devices to robotic planetary explorers. The book is...

Artificial Intelligence's long-term goal is to build the human level of artificial intelligence. AI was born 50 years ago, in the bumpy road has made encouraging progress, in particular, machine learning, data mining, computer vision, expert systems, natural language processing, planning, robotics and related applications have...

Adams Calculus is intended for the three semester calculus course. Classroom proven in North America and abroad, this classic text has been praised for its high level of mathematical integrity including complete and precise statements of theorems, use of geometric reasoning in applied problems, and the diverse range of applications across the...

The present book 1 provides a rigorous treatment and coherent presentation of the consolidated results of the authors' work, over the past four years, on the employment of logic programming as a representational and reasoning tool. It comes out of a background of a world-wide research effort for at least the past six years on the...

Noted for its integration of real-world data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context,...

Data mining can be defined as the process of selection, exploration and modelling of large databases, in order to discover models and patterns. The increasing availability of data in the current information society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the...