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Statistics for People Who (Think They) Hate Statistics: Using Microsoft Excel 2016 by Neil J. Salkind
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CCNA - Cisco Certified Network Associate Study Guide: Exam 640-802
Todd Lammle - 2007
Completely Revised for the New 2007 Version of the CCNA Exam (#640-802) Cisco networking authority Todd Lammle has completely updated this new edition to cover all of the exam objectives for the latest version of the CCNA exam.
Basics of Web Design: HTML5 & CSS3
Terry Felke-Morris - 2011
"Basics of Web Design: HTML5 and CSS3, 2e "covers the basic concepts that web designers need to develop their skills: Introductory Internet and Web concepts Creating web pages with HTML5 Configuring text, color, and page layout with Cascading Style Sheets Configuring images and multimedia on web pages Web design best practices Accessibility, usability, and search engine optimization considerations Obtaining a domain name and web host Publishing to the Web
Elementary Solid State Physics: Principles and Applications
M. Ali Omar - 1975
I also hope that it will serve as a useful reference too for the many workers engaged in one type of solid state research activity or another, who may be without formal training in the subject.
Inorganic Chemistry
D.F. Shriver - 1990
The bestselling textbook inorganic chemistry text on the market covers both theoretical and descriptive aspects of the subject, and emphasizes experimental methods, industrial applications, and modern topics.
The Adobe Photoshop Layers Book
Matt Kloskowski - 2008
From working with and managing multiple layers to using layers to enhance and retouch photos, this Photoshop guru covers it all.
The C Programming Language
Brian W. Kernighan - 1978
It is the definitive reference guide, now in a second edition. Although the first edition was written in 1978, it continues to be a worldwide best-seller. This second edition brings the classic original up to date to include the ANSI standard. From the Preface: We have tried to retain the brevity of the first edition. C is not a big language, and it is not well served by a big book. We have improved the exposition of critical features, such as pointers, that are central to C programming. We have refined the original examples, and have added new examples in several chapters. For instance, the treatment of complicated declarations is augmented by programs that convert declarations into words and vice versa. As before, all examples have been tested directly from the text, which is in machine-readable form. As we said in the first preface to the first edition, C "wears well as one's experience with it grows." With a decade more experience, we still feel that way. We hope that this book will help you to learn C and use it well.
Linear Algebra and Its Applications [with CD-ROM]
David C. Lay - 1993
The Official Guide to the GRE General Test
Educational Testing Service - 2016
It's packed with everything you need to do your best on the test--and move toward your graduate or business school degree.Only ETS can show you exactly what to expect on the test, tell you precisely how the test is scored, and give you hundreds of authentic test questions for practice! That makes this guide your most reliable and accurate source for everything you need to know about the GRE revised General Test.No other guide to the GRE General Test gives you all this: - Four complete, real tests--two in the book and two on CD-ROM - Hundreds of authentic test questions--so you can study with the real thing - In-depth descriptions of the Verbal Reasoning and Quantitative Reasoning measures plus valuable tips for answering each question type- Quantitative Reasoning problem-solving steps and strategies to help you get your best score - Detailed overview of the two types of Analytical Writing essay tasks including scored sample responses and actual raters' comments
Everything you need to know about the test, straight from the test makers!
An Introduction to Statistical Learning: With Applications in R
Gareth James - 2013
This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.
Subjects Matter: Exceeding Standards Through Powerful Content-Area Reading
Harvey Daniels - 2014
This book is about making those encounters as compelling as we can make them." -Harvey "Smokey" Daniels and Steven ZemelmanWe are specialists to the bone-in science, math, social studies, art, music, business, and foreign language. But now, the Common Core and state standards require us to help our students better understand the distinctive texts in our subject areas. "Nobody's making us into reading teachers," write Smokey Daniels and Steve Zemelman, "but we must become teachers of disciplinary thinking through our students' reading."If this shift sounds like a tough one, Subjects Matter, Second Edition is your solution. Smokey and Steve, two of America's most popular educators, share exactly what you need to help students read your nonfiction content closely and strategically: 27 proven teaching strategies that help meet-and exceed-the standards how-to suggestions for engaging kids with content through wide, real-world reading a lively look at using "boring" textbooks motivating instruction that's powered by student collaboration specifics for helping struggling readers succeed.Subjects Matter, Second Edition enables deep, thoughtful learning for your students, while keeping the irreverent, inspiring heart that's made the first edition indispensable. You'll discover fresh and re-energized lessons, completely updated research, and vibrant vignettes from new colleagues and old friends who have as much passion for their subjects as you do."We'll be using methods particular to our fields as well as engaging reading materials that help students understand and remember our content better," write Smokey and Steve. "We can realize that vision of the light going on in kids' heads and maybe fill them with enthusiasm about the amazing subject matter that we have to offer. Sound good? Let's get to work." Read a sample chapter from Subjects Matter, Second Edition.
Exploring Psychology in Modules
David G. Myers - 1990
Exploring Psychology, Sixth Edition, in Modules includes all the features and up-to-date content of the current edition of Exploring Psychology organized into 45 modules. It is accompanied by its own expansive variety of media and supplements similar to the Exploring Psychology package, also reorganized to match the modular format. This is NOT a brief version of Psychology, Seventh Edition, in Modules. Rather, this text is a MODULARIZED version of Exploring Psychology, Sixth Edition.
A Guide to the Project Management Body of Knowledge (PMBOKĀ® Guide)
Project Management Institute - 1995
This internationally recognized standard provides the essential tools to practice project management and deliver organizational results.
Pattern Recognition and Machine Learning
Christopher M. Bishop - 2006
However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development over the past ten years. In particular, Bayesian methods have grown from a specialist niche to become mainstream, while graphical models have emerged as a general framework for describing and applying probabilistic models. Also, the practical applicability of Bayesian methods has been greatly enhanced through the development of a range of approximate inference algorithms such as variational Bayes and expectation propagation. Similarly, new models based on kernels have had a significant impact on both algorithms and applications. This new textbook reflects these recent developments while providing a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners, and assumes no previous knowledge of pattern recognition or machine learning concepts. Knowledge of multivariate calculus and basic linear algebra is required, and some familiarity with probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Geosystems: An Introduction to Physical Geography
Robert W. Christopherson - 2005
Geosystems 6/e is written for students, designed to teach the science of physical geography in an interesting, and engaging style Christopherson's approach communicates modern physical geography through its systems organization, currency, student-friendly writing, and an outstanding multimedia graphics program.
Essentials of Sociology
Anthony Giddens - 2001
New features in the Fourth Edition pull together the big questions in each chapter and organize them around a concept map to help students synthesize concepts and see the personal and global applications of a sociological imagination.