Mathematics Books Sampling
The Drunkard's Walk: How Randomness Rules Our Lives (Vintage) by Leonard Mlodinow (Paperback - May 5, 2009) Successes and failures in life are often attributed to clear causes, when actually they are profoundly influenced by randomness and chance. Here, with the sense of narrative and imaginative approach of a storyteller, Leonard Mlodinow vividly demonstrates how wine ratings, corporate success, school grades, and political polls are less reliable than we believe. Showing us the true nature of chance and revealing the psychological illusions that cause us to misjudge the world around us, Mlodinow provides the tools we need for more informed decision making. From the classroom to the courtroom and from financial markets to supermarkets, Mlodinow's insights will intrigue, awe, and inspire.
Calculus: Early Transcendentals by James Stewart (Paperback - Jul 25, 2007) Success in your calculus course starts here! James Stewart's CALCULUS texts are world-wide best-sellers for a reason: they are clear, accurate, and filled with relevant, real-world examples. With CALCULUS: EARLY TRANCENDENTALS, Sixth Edition, Stewart conveys not only the utility of calculus to help you develop technical competence, but also gives you an appreciation for the intrinsic beauty of the subject. His patient examples and built-in learning aids will help you build your mathematical confidence and achieve your goals in the course! --This text refers to the Hardcover edition.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction (Springer Series in Statistics) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman (Hardcover - Feb 3, 2009) "The book is very well written and color is used throughout. Color adds a dimension that can be used to help the reader visualize high-dimensional data, and it is also very useful to help the eye see patterns and clusters more easily. This makes color effective in the book and not just a pleasing gimmick. This is the first book of its kind to treat data mining from a statistical perspective that is comprehensive and up-to-date on the statistical methods…I found the book to be both innovative and fresh. It provides an important contribution to data mining and statistical pattern recognition. It should become a classic…It is especially good for statisticians interested in high-dimensional and high-volume data such as can be found in telephone records, satellite images, and genetic microarrays. It can be used for an advanced special topics course in statistics for graduate students."
Technical Analysis of Stock Trends, Ninth Edition by Robert D. Edwards, John Magee, and W.H.C. Bassetti (Hardcover - Feb 13, 2007) -Paul Embrechts, Professor, Department of Mathematics, Swiss Federal Institute of Technology (ETH) Zurich and RiskLab, Switzerland
[This book] presents an accessible treatment of the procedures and technologies involved in designing and building risk-assessment processes and models. … The entire volume is presented as a narrative, keeping statistical jargon to a minimum and explaining all concepts, techniques, and processes in a straightforward manner. … This new second edition … offers a crucial breakthrough by defining the terms 'risk' and 'uncertainty' in ways that can be applied in all aspects of science and business [and] explores real-world impediments to process change and implementation.
- Continuity Insights
Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Hardcover - Oct 1, 2007) "This beautifully produced book is intended for advanced undergraduates, PhD students, and researchers and practitioners, primarily in the machine learning or allied areas...A strong feature is the use of geometric illustration and intuition...This is an impressive and interesting book that might form the basis of several advanced statistics courses. It would be a good choice for a reading group." John Maindonald for the Journal of Statistical Software
Calculus Made Easy by Silvanus P. Thompson (Paperback - May 18, 2008) ""Calculus Made Easy" is arguably the best math teaching ever. To a non-mathematician, its simplicity and clarity reveals the mathematical genius of Newton, Leibniz, and Thompson himself. Martin Gardner deserves huge thanks for renewing this great book."--"Julian Simon, author of Population Matters"
"A remarkable and user-friendly approach to the study of calculus, made even more so by Martin Gardner, the most highly acclaimed mathematical expositor of our time."--R.L. Graham, Chief Scientist, AT&T Labs, and author of" Concrete Mathematics"
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