How does the Cloud computing comparison manager ensure against scope creep? What will drive Cloud computing comparison change? If substitutes have been appointed, have they been briefed on the Cloud computing comparison goals and received regular communications as to the progress to date? How do we go about Comparing Cloud computing comparison approaches/solutions? Who is the Cloud computing comparison process owner?
Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable roleâ¦ In EVERY company, organization and department.
Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'
For more than twenty years, The Art of Service's Self-Assessments empower people who can do just that - whether their title is marketer, entrepreneur, manager, salesperson, consultant, business process manager, executive assistant, IT Manager, CxO etc... - they are the people who rule the future. They are people who watch the process as it happens, and ask the right questions to make the process work better.
This book is for managers, advisors, consultants, specialists, professionals and anyone interested in Cloud computing comparison assessment.
All the tools you need to an in-depth Cloud computing comparison Self-Assessment. Featuring 692 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Cloud computing comparison improvements can be made.
In using the questions you will be better able to:
- diagnose Cloud computing comparison projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices
- implement evidence-based best practice strategies aligned with overall goals
- integrate recent advances in Cloud computing comparison and process design strategies into practice according to best practice guidelines
Using a Self-Assessment tool known as the Cloud computing comparison Scorecard, you will develop a clear picture of which Cloud computing comparison areas need attention.
Included with your purchase of the book is the Cloud computing comparison Self-Assessment downloadable resource, which contains all questions and Self-Assessment areas of this book in a ready to use Excel dashboard, including the self-assessment, graphic insights, and project planning automation - all with examples to get you started with the assessment right away. Access instructions can be found in the book.
You are free to use the Self-Assessment contents in your presentations and materials for customers without asking us - we are here to help.
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression.
Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If youâre a beginner, R Cookbook will help get you started. If youâre an experienced data programmer, it will jog your memory and expand your horizons. Youâll get the job done faster and learn more about R in the process.
"Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R languageâone practical example at a time."âJeffrey Ryan, software consultant and R package author
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field.
After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity.
Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.
Written for novice programmers who want to learn programming with C# and the .NET framework, this book offers programming basics such as variables, flow control, and object oriented programming. It then moves into web and Windows programming and data access (databases and XML). The authors focus on the tool that beginners use most often to program C#, the Visual C# 2012 development environment in Visual Studio 2012.
Beginning Microsoft Visual C# 2012 ProgrammingÂ offers beginners a guide to writing effective programming code following simple step-by-step methods, each followed by the opportunity to try out newly acquired skills.
R is a powerful tool for statistics and graphics, but getting started with this language can be frustrating. This short, concise book provides beginners with a selection of how-to recipes to solve simple problems with R. Each solution gives you just what you need to know to use R for basic statistics, graphics, and regression.
You'll find recipes on reading data files, creating data frames, computing basic statistics, testing means and correlations, creating a scatter plot, performing simple linear regression, and many more. These solutions were selected from O'Reilly's R Cookbook, which contains more than 200 recipes for R that you'll find useful once you move beyond the basics.
This book illustrates the current work of leading multilevel modeling (MLM) researchers from around the world.
The book's goal is to critically examine the real problems that occur when trying to use MLMs in applied research, such as power, experimental design, and model violations. This presentation of cutting-edge work and statistical innovations in multilevel modeling includes topics such as growth modeling, repeated measures analysis, nonlinear modeling, outlier detection, and meta analysis.
This volume will be beneficial for researchers with advanced statistical training and extensive experience in applying multilevel models, especially in the areas of education; clinical intervention; social, developmental and health psychology, and other behavioral sciences; or as a supplement for an introductory graduate-level course.
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