Configuring Windows 7: Self-Paced Training Kit (MCTS Exam 70-680)


Ian L. McLean - 2009
    This Self-Paced Training Kit is designed to help maximize your performance on 70-680, the required exam for the Microsoft Certified Technology Specialist (MCTS): Windows 7, Configuration certification.This 2-in-1 kit includes the official Microsoft study guide, plus practice tests on CD to help you assess your skills. It comes packed with the tools and features exam candidates want most—including in-depth, self-paced training based on final exam content; rigorous, objective-by-objective review; exam tips from expert, exam-certified authors; and customizable testing options. It also provides real-world scenarios, case study examples, and troubleshooting labs to give you the skills and expertise you can use on the job.Work at your own pace through the lessons and lab exercises. This official study guide covers installing, upgrading, and migrating to Windows 7; configuring network connectivity, applications, and devices; implementing backup and recovery; configuring User Account Control (UAC), mobility options, and new features such as DirectAccess and BranchCache; and managing system updates.Then assess yourself using the 200 practice questions on CD, featuring multiple customizable testing options to meet your specific needs. Choose timed or untimed testing mode, generate random tests, or focus on discrete objectives. You get detailed explanations for right and wrong answers—including pointers back to the book for further study. You also get an exam discount voucher—making this kit an exceptional value and a great career investment.

Architecting the Cloud: Design Decisions for Cloud Computing Service Models (Saas, Paas, and Iaas)


Michael J. Kavis - 2013
    However, before you can decide on a cloud model, you need to determine what the ideal cloud service model is for your business. Helping you cut through all the haze, Architecting the Cloud is vendor neutral and guides you in making one of the most critical technology decisions that you will face: selecting the right cloud service model(s) based on a combination of both business and technology requirements.Guides corporations through key cloud design considerations Discusses the pros and cons of each cloud service model Highlights major design considerations in areas such as security, data privacy, logging, data storage, SLA monitoring, and more Clearly defines the services cloud providers offer for each service model and the cloud services IT must provide Arming you with the information you need to choose the right cloud service provider, Architecting the Cloud is a comprehensive guide covering everything you need to be aware of in selecting the right cloud service model for you.

Stumbling on Wins: Two Economists Expose the Pitfalls on the Road to Victory in Professional Sports


David J. Berri - 2009
    Consider: sports teams have an immense amount of detailed, quantifiable information to draw upon, more than in virtually any other industry. They have powerful incentives for making good decisions. Everyone sees the results of their choices, and the consequences for failure are severe. And yet...they keep making the same mistakes over and over again...systematic mistakes you'd think they'd learn how to avoid. Now, two leading sports economists reveal those mistakes in basketball, baseball, football, and hockey, and explain why sports decision-makers never seem to learn their lessons. You'll learn which statistics are connected to wins, and which aren't, and which statistics can and can't predict the future. Along the way, David Berri and Martin Schmidt show why a quarterback's place in the draft tells you nothing about how he'll perform in the NFL...why basketball decision-makers don't focus on the factors that really correlate with NBA success...why famous coaches don't deliver better results...and much more.

Catia V5 R17 For Designers


Sham Tickoo - 2005
    The textbook covers all-important workbenches of CATIA V5R17 with a thorough explanation of all commands, options, and their applications to create real-world products. About 55 mechanical engineering industry examples are used as tutorials and an additional 35 as exercises to ensure that the user can relate their knowledge and understand the design techniques used in the industry to design a product. After reading the textbook, the user will be able to create solid parts, assemblies, drawing views with bill of materials, surface models, and Sheet metal components. Also, the user will learn the editing techniques that are essential to make a successful design. In this book, the author emphasizes on the solid modeling techniques that improve the productivity and efficiency of the user. Salient Features of the Textbook Consists of 15 chapters that are organized in a pedagogical sequence. These chapters cover the Sketching, Modeling, Assembly, Drafting, Wireframe and Surface Design, and Generative Sheetmetal workbenches of CATIA V5R17. The first page of every chapter summarizes the topics that will be covered in it. Additional information is provided throughout the book in the form of tips and notes. Self-evaluation test and review questions are provided at the end of each chapter so that the users can assess their knowledge.Free Teaching and Learning Resources Online technical support by contacting techsupport@cadcim.com. All programs used in exercises and examples. Customizable PowerPoint presentations of all chapters in the textbook li>Instructor s Guide with solutions to all review questions and exercises in the textbook. Student projects to enhance the skills Class tests that can be used by faculty in the class To access these free teaching resources, please send your contact information to sales@cadcim.com, mentioning clearly your name, designation, university/college, street street address, city, state, zip, and country.

The Signal and the Noise: Why So Many Predictions Fail—But Some Don't


Nate Silver - 2012
    He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of FiveThirtyEight.com. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the "prediction paradox": The more humility we have about our ability to make predictions, the more successful we can be in planning for the future.In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good-or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary-and dangerous-science.Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise.

The Theory That Would Not Die: How Bayes' Rule Cracked the Enigma Code, Hunted Down Russian Submarines, and Emerged Triumphant from Two Centuries of Controversy


Sharon Bertsch McGrayne - 2011
    To its adherents, it is an elegant statement about learning from experience. To its opponents, it is subjectivity run amok.In the first-ever account of Bayes' rule for general readers, Sharon Bertsch McGrayne explores this controversial theorem and the human obsessions surrounding it. She traces its discovery by an amateur mathematician in the 1740s through its development into roughly its modern form by French scientist Pierre Simon Laplace. She reveals why respected statisticians rendered it professionally taboo for 150 years—at the same time that practitioners relied on it to solve crises involving great uncertainty and scanty information (Alan Turing's role in breaking Germany's Enigma code during World War II), and explains how the advent of off-the-shelf computer technology in the 1980s proved to be a game-changer. Today, Bayes' rule is used everywhere from DNA de-coding to Homeland Security.Drawing on primary source material and interviews with statisticians and other scientists, The Theory That Would Not Die is the riveting account of how a seemingly simple theorem ignited one of the greatest controversies of all time.

Introduction to Disciplined Agile Delivery: A Small Agile Team’s Journey from Scrum to Continuous Delivery


Mark Lines - 2015
    It describes the Disciplined Agile Delivery (DAD) process decision framework and then works through a case study describing a typical agile team’s experiences adopting a disciplined agile approach. The book describes how the team develops the first release of a mission-critical application while working in a legacy enterprise environment. It describes their experiences from beginning-to-end, starting with their initial team initiation efforts through construction and finally to deploying the solution into production. It also describes how the team stays together for future releases, overviewing their process improvement efforts from their Scrum-based beginnings through to a lean continuous delivery approach that fits in with their organization’s evolving DevOps strategy. The DAD framework is a hybrid of existing methods such as Scrum, Kanban, Agile Modeling, SAFe, Extreme Programming, Agile Data, Unified Process and many others. DAD provides the flexibility to use various approaches and plugs the gaps not addressed by mainstream agile methods. In a nutshell, DAD is “pragmatic agile.” DAD describes proven strategies to adapt and scale your agile initiatives to suit the unique realities of your enterprise without having to figure it all out by yourself. Here’s an overview of what each chapter covers: * Chapter 1: Introduction. This chapter provides a quick overview of the book and a brief history of Disciplined Agile. * Chapter 2: Reality over Rhetoric. This chapter explores several common myths about DAD and more importantly disproves them. * Chapter 3: Disciplined Agile Delivery in a Nutshell. This chapter provides a brief yet comprehensive overview of the DAD framework. * Chapter 4: Introduction to the Case Study. This chapter introduces us to the team, describes the market opportunity that they hope to address, and describes the environment in which they’re working. * Chapter 5: Inception. The team’s initiation effort includes initial requirements modeling and planning with their stakeholders in a streamlined manner, initial architecture modeling, setting up their physical work environment, setting up the start of their tooling infrastructure, initial risk identification, and finally securing stakeholder support and funding for the rest of the first release. * Chapters 6 through 10: Construction. These chapters each describe a single Construction iteration, sharing the team’s experiences during each of those two-week timeboxes. * Chapter 11: Transition. The two-week transition phase focuses on final testing and fixing, training the support/help-desk staff, finishing a few short end-user “how to” videos, and deploying the solution into production. * Chapter 12: Future Releases. This chapter overviews the team’s improvement efforts over the next few releases, describing how they evolve from the agile Scrum-based lifecycle to a leaner approach and eventually to continuous delivery. * Chapter 13: Closing Thoughts. This chapter overviews the disciplined agile resources that are available to you. * Appendix: The Disciplined Agile IT Department. This short appendix overviews our ongoing work on the Disciplined Agile framework to address the full scope of an IT department. At 102 pages, you should find this book to be a quick, informative read.

Tests, Measurements and Research Methods in Behavioural Sciences


A.K. Singh
    discuss about research

Exploring CQRS and Event Sourcing


Dominic Betts - 2012
    It presents a learning journey, not definitive guidance. It describes the experiences of a development team with no prior CQRS proficiency in building, deploying (to Windows Azure), and maintaining a sample real-world, complex, enterprise system to showcase various CQRS and ES concepts, challenges, and techniques.The development team did not work in isolation; we actively sought input from industry experts and from a wide group of advisors to ensure that the guidance is both detailed and practical.The CQRS pattern and event sourcing are not mere simplistic solutions to the problems associated with large-scale, distributed systems. By providing you with both a working application and written guidance, we expect you’ll be well prepared to embark on your own CQRS journey.

Data Analysis Using SQL and Excel


Gordon S. Linoff - 2007
    This book helps you use SQL and Excel to extract business information from relational databases and use that data to define business dimensions, store transactions about customers, produce results, and more. Each chapter explains when and why to perform a particular type of business analysis in order to obtain useful results, how to design and perform the analysis using SQL and Excel, and what the results should look like.

Windows 10: The Missing Manual


David Pogue - 2015
    Windows 10 (a free update to users of Windows 8 or Windows 7) fixes a number of the problems introduced by the revolution in Windows 8 and offers plenty of new features, such as the new Spartan web browser, Cortana voice-activated "personal assistant," new universal apps (that run on tablet, phone, and computer), and more. But to really get the most out of the new operating system, you're going to need a guide.Thankfully, Windows 10: The Missing Manual will be there to help. Like its predecessors, this book from the founder of Yahoo Tech, previous New York Times columnist, bestselling author, and Missing Manuals creator David Pogue illuminates its subject with technical insight, plenty of wit, and hardnosed objectivity for beginners, veteran standalone PC users, new tablet owners, and those who know their way around a network.

Successful Business Intelligence: Secrets to Making BI a Killer App


Cindi Howson - 2007
    Learn about the components of a BI architecture, how to choose the appropriate tools and technologies, and how to roll out a BI strategy throughout the organisation.

How Not to Be Wrong: The Power of Mathematical Thinking


Jordan Ellenberg - 2014
    In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.Math allows us to see the hidden structures underneath the messy and chaotic surface of our world. It’s a science of not being wrong, hammered out by centuries of hard work and argument. Armed with the tools of mathematics, we can see through to the true meaning of information we take for granted: How early should you get to the airport? What does “public opinion” really represent? Why do tall parents have shorter children? Who really won Florida in 2000? And how likely are you, really, to develop cancer?How Not to Be Wrong presents the surprising revelations behind all of these questions and many more, using the mathematician’s method of analyzing life and exposing the hard-won insights of the academic community to the layman—minus the jargon. Ellenberg chases mathematical threads through a vast range of time and space, from the everyday to the cosmic, encountering, among other things, baseball, Reaganomics, daring lottery schemes, Voltaire, the replicability crisis in psychology, Italian Renaissance painting, artificial languages, the development of non-Euclidean geometry, the coming obesity apocalypse, Antonin Scalia’s views on crime and punishment, the psychology of slime molds, what Facebook can and can’t figure out about you, and the existence of God.Ellenberg pulls from history as well as from the latest theoretical developments to provide those not trained in math with the knowledge they need. Math, as Ellenberg says, is “an atomic-powered prosthesis that you attach to your common sense, vastly multiplying its reach and strength.” With the tools of mathematics in hand, you can understand the world in a deeper, more meaningful way. How Not to Be Wrong will show you how.

Stat-Spotting: A Field Guide to Identifying Dubious Data


Joel Best - 2008
    But all too often, even the most respected publications present numbers that are miscalculated, misinterpreted, hyped, or simply misleading. Following on the heels of his highly acclaimed Damned Lies and Statistics and More Damned Lies and Statistics, Joel Best now offers this practical field guide to help everyone identify questionable statistics. Entertaining, informative, and concise, Stat-Spotting is essential reading for people who want to be more savvy and critical consumers of news and information.Stat-Spotting features:* Pertinent examples from today's news, including the number of deaths reported in Iraq, the threat of secondhand smoke, the increase in the number of overweight Americans, and many more* A commonsense approach that doesn't require advanced math or statistics

Using Multivariate Statistics


Barbara G. Tabachnick - 1983
    It givessyntax and output for accomplishing many analyses through the mostrecent releases of SAS, SPSS, and SYSTAT, some not available insoftware manuals. The book maintains its practical approach, stillfocusing on the benefits and limitations of applications of a techniqueto a data set -- when, why, and how to do it. Overall, it providesadvanced students with a timely and comprehensive introduction totoday's most commonly encountered statistical and multivariatetechniques, while assuming only a limited knowledge of higher-levelmathematics.