Idealistic? Yes. Unrealistic? According to Why Not? authors Barry Nalebuff and Ian Ayres, no.Illustrated with examples from every aspect of life, Why Not? offers techniques which will help you take the things we all see, every day, and think about them in a new way. Great ideas are waiting. Why not be the one to discover them?

    Working through the book you will develop an arsenal of techniques to help you unlock the meaning of definitions, theorems and proofs, solve problems, and write mathematics effectively. All the major methods of proof - direct method, cases, induction, contradiction and contrapositive - are featured. Concrete examples are used throughout, and you'll get plenty of practice on topics common to many courses such as divisors, Euclidean algorithms, modular arithmetic, equivalence relations, and injectivity and surjectivity of functions. The material has been tested by real students over many years so all the essentials are covered. With over 300 exercises to help you test your progress, you'll soon learn how to think like a mathematician.

    With it has come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book's coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting—the first comprehensive treatment of this topic in any book. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie wrote much of the statistical modeling software in S-PLUS and invented principal curves and surfaces. Tibshirani proposed the Lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, and projection pursuit.

    Sipser's candid, crystal-clear style allows students at every level to understand and enjoy this field. His innovative "proof idea" sections explain profound concepts in plain English. The new edition incorporates many improvements students and professors have suggested over the years, and offers updated, classroom-tested problem sets at the end of each chapter.

    This easy-to-read guide helps you cultivate a host of good development practices, based on classic software design patterns and new patterns unique to embedded programming. Learn how to build system architecture for processors, not operating systems, and discover specific techniques for dealing with hardware difficulties and manufacturing requirements.Written by an expert who’s created embedded systems ranging from urban surveillance and DNA scanners to children’s toys, this book is ideal for intermediate and experienced programmers, no matter what platform you use.Optimize your system to reduce cost and increase performanceDevelop an architecture that makes your software robust in resource-constrained environmentsExplore sensors, motors, and other I/O devicesDo more with less: reduce RAM consumption, code space, processor cycles, and power consumptionLearn how to update embedded code directly in the processorDiscover how to implement complex mathematics on small processorsUnderstand what interviewers look for when you apply for an embedded systems job"Making Embedded Systems is the book for a C programmer who wants to enter the fun (and lucrative) world of embedded systems. It’s very well written—entertaining, even—and filled with clear illustrations." —Jack Ganssle, author and embedded system expert.

    Mastering this art will not only make you the most desired developer in the market, but it will transform the craziest deadline into "Consider it done, Sir".

    With Visual Basic for Applications (VBA) programming, you can take advantage of numerous Excel options such as: creating new worksheet functions; automating tasks and operations; creating new appearances, toolbars, and menus; designing custom dialog boxes and add-ins; and much more. This guide is not for rank Excel amateurs. It-s for intermediate to advanced Excel users who want to learn VBA programming (or whose bosses want them to learn VBA programming). You need to know your way around Excel before you start creating customized short cuts or systems for speeding through Excel functions. If you-re an intermediate or advanced Excel user, Excel VBA For Dummies helps you take your skills (and your spreadsheets) to the next level. It includes: An introduction to the VBA language A hands-on, guided, step-by-step walk through developing a useful VBA macro, including recording, testing, and changing it, and testing it The essential foundation, including the Visual Basic Editor (VBE) and its components, modules, Excel object model, subroutines and functions, and the Excel macro recorder The essential VBA language elements, including comments, variables and constants, and labels Working with Range objects and discovering useful Range objective properties and methods Using VBA and worksheet functions, including a list and examples Programming constructions, including the GoTo statement, the If-Then structure, Select Case, For-Next loop, Do-While loop, and Do-Until loop Automatic procedures and Workbook events, including a table and event-handler procedures Error-handling and bug extermination techniques, and using the Excel debugging tools Creating custom dialog boxes, also known as UserForms, with a table of the toolbox controls and their capabilities, how-to for the dialog box controls, and UserForm techniques and tricks Customizing the Excel toolbars Using VBA code to modify the Excel menu system Creating worksheet functions and working with various types of arguments Creating Excel add-ins such as new worksheet functions you can use in formulas or new commands or utilities Author John Walkenbach is a leading authority on spreadsheet software and the author of more than 40 spreadsheet books including Excel 2003 Bible and Excel 2003 Power Programming with VBA. While this guide includes tons of examples and screenshots, Walkenbach knows there-s no substitute for hands-on learning. The book is complete with: A dedicated companion Web site that includes bonus chapters plus all sample programs to save you a lot of typing and let you play around and experiment with various changes Information to help you make the most of Excel-s built-in Help system so you can find out other stuff you may need to know What are you waiting for? Sure, learning to do VBA programming takes a little effort, but it-s a Very Big Accomplishment.

     Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation, the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++.

    Like previous versions, this guide shows you step-by-step techniques on using MVC to best advantage, with plenty of practical tutorials to illustrate the concepts. It covers controllers, views, and models; forms and HTML helpers; data annotation and validation; membership, authorization, and security.MVC 5, the latest version of MVC, adds sophisticated features such as single page applications, mobile optimization, and adaptive rendering A team of top Microsoft MVP experts, along with visionaries in the field, provide practical advice on basic and advanced MVC topics Covers controllers, views, models, forms, data annotations, authorization and security, Ajax, routing, ASP.NET web API, dependency injection, unit testing, real-world application, and much more Professional ASP.NET MVC 5 is the comprehensive resource you need to make the best use of the updated Model-View-Controller technology.

    As a result, many students talk about college in ways that cause them to overlook some of their most important learning opportunities. Becoming a Learner asks students to carefully reconsider conventional common sense about college and learning, and invites them to consider a new conversation about college and learning that focuses on who they are becoming and their ability to learn.

    This book is designed to give the reader insight into the power and beauty that accrues from a rich interplay between different areas of mathematics. The book carefully develops the theory of different algebraic structures, beginning from basic definitions to some in-depth results, using numerous examples and exercises to aid the reader's understanding. In this way, readers gain an appreciation for how mathematical structures and their interplay lead to powerful results and insights in a number of different settings. * The emphasis throughout has been to motivate the introduction and development of important algebraic concepts using as many examples as possible.

    Russell's classic The Principles of Mathematics sets forth his landmark thesis that mathematics and logic are identical―that what is commonly called mathematics is simply later deductions from logical premises.His ideas have had a profound influence on twentieth-century work on logic and the foundations of mathematics.

    Seedtime and Harvest focuses on key mystical messages that run through Biblical Scripture, showing how familiar Biblical stories and passages provide insight into the metaphysical principles that form the foundation of physical experience. The tale of Cain and Abel, Jacob's ladder dream, and many other passages are explored to spark deeper understanding of consciousness and empowerment. Neville intersperses his interpretive insights into scripture with real-life examples of the workings of spiritual law, helping to show how the Bible can provide important guidance to students no longer comfortable with a literal reading.Neville's opening chapter notes that any who enjoy the old familiar verses of Scripture are discouraged when they themselves try to read the Bible as they would any other book because, quite excusably, they do not understand that the Bible is written in the language of symbolism. In Seedtime and Harvest, Neville offers insight to those who seek to reconcile their love of the Christian Bible with non-sectarian truths about being and self-hood.

    By staying current, remaining relevant, and adapting to emerging course needs, this market-leading text has continued to define the operating systems course. This Seventh Edition not only presents the latest and most relevant systems, it also digs deeper to uncover those fundamental concepts that have remained constant throughout the evolution of today's operation systems. With this strong conceptual foundation in place, students can more easily understand the details related to specific systems. New Adaptations * Increased coverage of user perspective in Chapter 1. * Increased coverage of OS design throughout. * A new chapter on real-time and embedded systems (Chapter 19). * A new chapter on multimedia (Chapter 20). * Additional coverage of security and protection. * Additional coverage of distributed programming. * New exercises at the end of each chapter. * New programming exercises and projects at the end of each chapter. * New student-focused pedagogy and a new two-color design to enhance the learning process.

    Sold in over 85 countries and translated into more than 5 languages.---------------Want to get started on data science?Our promise: no math added.This book has been written in layman's terms as a gentle introduction to data science and its algorithms. Each algorithm has its own dedicated chapter that explains how it works, and shows an example of a real-world application. To help you grasp key concepts, we stick to intuitive explanations and visuals.Popular concepts covered include:- A/B Testing- Anomaly Detection- Association Rules- Clustering- Decision Trees and Random Forests- Regression Analysis- Social Network Analysis- Neural NetworksFeatures:- Intuitive explanations and visuals- Real-world applications to illustrate each algorithm- Point summaries at the end of each chapter- Reference sheets comparing the pros and cons of algorithms- Glossary list of commonly-used termsWith this book, we hope to give you a practical understanding of data science, so that you, too, can leverage its strengths in making better decisions.