How Many Feet How Many Tails(CD1장포함)(Scholastic Hello Reader Math 2-2)
Author | : Marlyn Burns |
Publisher | : |
Total Pages | : 32 |
Release | : 2006-08-01 |
Genre | : |
ISBN | : 9788953911574 |
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Author | : Marlyn Burns |
Publisher | : |
Total Pages | : 32 |
Release | : 2006-08-01 |
Genre | : |
ISBN | : 9788953911574 |
Author | : Marilyn Burns |
Publisher | : |
Total Pages | : 121 |
Release | : 2007-01-01 |
Genre | : |
ISBN | : 9788953912564 |
Author | : Marilyn Burns |
Publisher | : SCHOLASTIC |
Total Pages | : 32 |
Release | : 1996 |
Genre | : Animals |
ISBN | : 9780590673600 |
As two children take a walk with their grandfather, they use their counting skills to help answer a series of animal riddles. Includes related activities.
Author | : M. E. D'Imperio |
Publisher | : |
Total Pages | : 164 |
Release | : 1978 |
Genre | : Ciphers |
ISBN | : |
In spite of all the papers that others have written about the manuscript, there is no complete survey of all the approaches, ideas, background information and analytic studies that have accumulated over the nearly fifty-five years since the manuscript was discovered by Wilfrid M. Voynich in 1912. This report pulls together all the information the author could obtain from all the sources she has examined, and to present it in an orderly fashion. The resulting survey will provide a firm basis upon which other students may build their work, whether they seek to decipher the text or simply to learn more about the problem.
Author | : Sheldon M. Ross |
Publisher | : |
Total Pages | : 532 |
Release | : 1987 |
Genre | : Mathematics |
ISBN | : |
Elements of probability; Random variables and expectation; Special; random variables; Sampling; Parameter estimation; Hypothesis testing; Regression; Analysis of variance; Goodness of fit and nonparametric testing; Life testing; Quality control; Simulation.
Author | : Roy D. Yates |
Publisher | : John Wiley & Sons |
Total Pages | : 514 |
Release | : 2014-01-28 |
Genre | : Mathematics |
ISBN | : 1118324560 |
This text introduces engineering students to probability theory and stochastic processes. Along with thorough mathematical development of the subject, the book presents intuitive explanations of key points in order to give students the insights they need to apply math to practical engineering problems. The first seven chapters contain the core material that is essential to any introductory course. In one-semester undergraduate courses, instructors can select material from the remaining chapters to meet their individual goals. Graduate courses can cover all chapters in one semester.
Author | : Patrick Suppes |
Publisher | : Stanford Univ Center for the Study |
Total Pages | : 536 |
Release | : 2002 |
Genre | : Science |
ISBN | : 9781575863337 |
A fundamental reason for using formal methods in the philosophy of science is the desirability of having a fixed frame of reference that may be used to organize the variety of doctrines at hand. This book—Patrick Suppes's major work, and the result of several decades of research—examines how set-theoretical methods provide such a framework, covering issues of axiomatic method, representation, invariance, probability, mechanics, and language, including research on brain-wave representations of words and sentences. This is a groundbreaking, essential text from a distinguished philosopher.
Author | : Miroslav Kubat |
Publisher | : Springer |
Total Pages | : 348 |
Release | : 2017-08-31 |
Genre | : Computers |
ISBN | : 3319639137 |
This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.
Author | : Alexandre Borovik |
Publisher | : American Mathematical Soc. |
Total Pages | : 345 |
Release | : 2010 |
Genre | : Mathematics |
ISBN | : 0821847619 |
Discusses, from a working mathematician's point of view, the mystery of mathematical intuition: Why are certain mathematical concepts more intuitive than others? And to what extent does the 'small scale' structure of mathematical concepts and algorithms reflect the workings of the human brain?