Polya, How to Solve It will show anyone in any field how to think straight. In lucid and appealing prose, Polya reveals how the mathematical method of demonstrating a proof or finding an unknown can be of help in attacking any problem that can be reasoned out--from building a bridge to winning a game of anagrams. Generations of readers have relished Polya's deft--indeed, brilliant--instructions on stripping away irrelevancies and going straight to the heart of the problem.

    Try out more than 1,000 commands to find and get software, monitor system health and security, and access network resources. Then, apply the skills you learn from this book to use and administer desktops and servers running Ubuntu, Debian, and KNOPPIX or any other Linux distribution.

    But many people use data in ways they don't even understand, meaning they aren't getting the most from it. Bayesian Statistics the Fun Way will change that.This book will give you a complete understanding of Bayesian statistics through simple explanations and un-boring examples. Find out the probability of UFOs landing in your garden, how likely Han Solo is to survive a flight through an asteroid shower, how to win an argument about conspiracy theories, and whether a burglary really was a burglary, to name a few examples.By using these off-the-beaten-track examples, the author actually makes learning statistics fun. And you'll learn real skills, like how to:- How to measure your own level of uncertainty in a conclusion or belief- Calculate Bayes theorem and understand what it's useful for- Find the posterior, likelihood, and prior to check the accuracy of your conclusions- Calculate distributions to see the range of your data- Compare hypotheses and draw reliable conclusions from themNext time you find yourself with a sheaf of survey results and no idea what to do with them, turn to Bayesian Statistics the Fun Way to get the most value from your data.

    Arnold, CHOICE"The book provides readers with a clear, sympathetic and unbiased understanding of the four conflicting visions of curriculum that will enable them to more productively interact with educators who might hold different beliefs. The book stimulates readers to better understand their own beliefs and also to provide them with an understanding of alternate ways of thinking about the fundamental goals of education" --SIRREADALOT.ORG"A much needed, insightful view of alternative curriculum orientations. This is an exceptionally written book that will be useful to teachers, curriculum workers, and school administrators."--Marc Mahlios, University of Kansas"Curriculum Theory: Conflicting Visions and Enduring Concerns is a thought provoking text that invites self-analysis."--Lars J. Helgeson, University of North DakotaCurriculum Theory: Conflicting Visions and Enduring Concerns presents a clear, unbiased, and rigorous description of the major curriculum philosophies that have influenced educators and schooling over the last century. Author Michael Stephen Schiro analyzes four educational visions--Scholar Academic, Social Efficiency, Learner Centered, and Social Reconstruction--to enable readers to reflect on their own educational beliefs and allow them to more productively interact with educators who might hold different beliefs.Key FeaturesProvides a historical perspective on the origins of curriculum ideologies: The book places our current educational debates and issues in a historical context of enduring concerns.Offers a model of how educational movements can be critically analyzed: Using a post-structuralist perspective, this model enables readers to more effectively contribute to the public debate about educational issues.Pays careful attention to the way language is used by educators to give meaning to frequently unspoken assumptions: The text's examination helps readers better understand curricular disagreements that occur in schools.Highlights the complexities of curriculum work in a social context: With an understanding of the ideological pressures exerted on them by society and colleagues, readers can put these pressures in perspective and maintain their own values, beliefs, and practices.Intended AudienceThis book is designed as a supplemental text for advanced undergraduate and graduate courses such as Curriculum Theory, Introduction to Curriculum and Instruction, Curriculum Philosophy, and Curriculum Theory and Practice in the department of education.Talk to the author! schiro@bc.eduTo visit the author's web site, please visit: http: //www2.bc.edu/ schiro/sage.html.

    Topics include the limits of knowledge, paradox of complexity, Maxwell's demon, Big Bang theory, much more. 1985 edition.

    This book may have occasional imperfections such as missing or blurred pages, poor pictures, errant marks, etc. that were either part of the original artifact, or were introduced by the scanning process. We believe this work is culturally important, and despite the imperfections, have elected to bring it back into print as part of our continuing commitment to the preservation of printed works worldwide. We appreciate your understanding of the imperfections in the preservation process, and hope you enjoy this valuable book.

    

    This practical introduction illuminates new features and capabilities, with scenarios demonstrating how the platform can meet the needs of your business.Based on beta software, this book provides the early, high-level information you need to begin preparing now for deployment and management. Topics include:Virtualization and cloud solutions Availability Provisioning and storage management Security and scalability Infrastructure options Server administration

    The aim of a course in real analysis should be to challenge and improve mathematical intuition rather than to verify it. The philosophy of this book is to focus attention on questions which give analysis its inherent fascination.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    The most effective computer security strategies integrate network security monitoring (NSM): the collection and analysis of data to help you detect and respond to intrusions.In The Practice of Network Security Monitoring, Mandiant CSO Richard Bejtlich shows you how to use NSM to add a robust layer of protection around your networks — no prior experience required. To help you avoid costly and inflexible solutions, he teaches you how to deploy, build, and run an NSM operation using open source software and vendor-neutral tools.You'll learn how to:Determine where to deploy NSM platforms, and size them for the monitored networks Deploy stand-alone or distributed NSM installations Use command line and graphical packet analysis tools, and NSM consoles Interpret network evidence from server-side and client-side intrusions Integrate threat intelligence into NSM software to identify sophisticated adversaries There's no foolproof way to keep attackers out of your network. But when they get in, you'll be prepared. The Practice of Network Security Monitoring will show you how to build a security net to detect, contain, and control them. Attacks are inevitable, but losing sensitive data shouldn't be.

    Inside: Logic Resource CD-ROM

    Laura M. Ahearn shows that young Nepalese people are applying their newly acquired literacy skills to love-letter writing, fostering a transition that involves not only a shift in marriage rituals, but also a change in how villagers conceive of their own ability to act and attribute responsibility for events. These developments have potential ramifications that extend far beyond the realm of marriage and well past the Himalayas.The love-letter correspondences examined by Ahearn also provide a deeper understanding of the social effects of literacy. While the acquisition of literary skills may open up new opportunities for some individuals, such skills can also impose new constraints, expectations, and disappointments. The increase in female literacy rates in Junigau in the 1990s made possible the emergence of new courtship practices and facilitated self-initiated marriages, but it also reinforced certain gender ideologies and undercut some avenues to social power, especially for women. Scholars, and students in such fields as anthropology, women's studies, linguistics, development studies, and South Asian studies will find this book ethnographically rich and theoretically insightful. Laura M. Ahearn is Assistant Professor of Anthropology, Rutgers University.

    Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis. Design of the high-resolution displays, small multiples. Editing and improving graphics. The data-ink ratio. Time-series, relational graphics, data maps, multivariate designs. Detection of graphical deception: design variation vs. data variation. Sources of deception. Aesthetics and data graphical displays. This is the second edition of The Visual Display of Quantitative Information. Recently published, this new edition provides excellent color reproductions of the many graphics of William Playfair, adds color to other images, and includes all the changes and corrections accumulated during 17 printings of the first edition.

    Essentially, you are estimating a probability, but then updating that estimate based on other things that you know. This book is designed to give you an intuitive understanding of how to use Bayes Theorem. It starts with the definition of what Bayes Theorem is, but the focus of the book is on providing examples that you can follow and duplicate. Most of the examples are calculated in Excel, which is useful for updating probability if you have dozens or hundreds of data points to roll in.