This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have ...(展开全部)

If you work with data and want to become an expert in predictive analysis and modeling, then this Learning Path will serve you well. It is intended for budding and seasoned practitioners of predictive modeling alike. You should have basic knowledge of the use of R, although it’s not necessary to put this Learning Path to great use.

A new theory is taking hold in neuroscience. It is the theory that the brain is essentially a hypothesis-testing mechanism, one that attempts to minimise the error of its predictions about the sensory input it receives from the world. It is an attractive theory because powerful theoretical arguments support it, and yet it is at heart stunningly simple. Jakob Hohwy explains and ...(展开全部)

The new edition of Mathematical Modeling, the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical models guide much of the decision making in our society. If the assumptions and methods underlying the modeling are ...(展开全部)

Too often, finance courses stop short of making a connection between textbook finance and the problems of real-world business. Financial Modeling bridges this gap between theory and practice by providing a nuts-and-bolts guide to solving common financial models with spreadsheets. Simon Benninga takes the reader step by step through each model, showing how it can be solved usin...(展开全部)

Applied epistemology brings the tools of contemporary epistemology to bear on particular issues of social concern. While the field of social epistemology has flourished in recent years, there has been far less work on how theories of knowledge, justification, and evidence may be applied to concrete questions, especially those of ethical and political significance. This volume f...(展开全部)

A text for interactive Calculus courses, featuring innovative problems This sixth edition of Applied Calculus engages students with well-constructed problems and content to deepen understanding. The Rule of Four approach is supported in the text, where concepts are presented graphically, numerically, symbolically, and verbally. Students with a range of learning styles will be a...(展开全部)

Deborah Hughes-Hallett 现为亚利桑那大学教授，英国剑桥大学博士毕业，曾在土耳其中东科技大学任教。Hughes-Hallett致力于提升数学教育的水平，促进国际间的数学合作和交流。她是美国微积分联合会的创始人之一，著述颇丰，她的很多经典教材被翻译为多种语言文字流传世界。 Andrew M. Gleason (1921—2008) 20世纪的著名数学家，美国艺术与科学院、国家科学院和哲学会院士，曾任美国数学会主席。1942年获耶鲁大学学士学位，从1969年起任哈佛大学数学和自然哲学教授，直至1992年退休。著名的Gleason定理即以他的名字命名。