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Название: The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods
Автор: Michael Rees
Издательство: Wiley
Год: 2023
Страниц: 286
Язык: английский
Формат: pdf
Размер: 14.0 MB

A concise and practical guide to financial modeling in Excel. In The Essentials of Financial Modeling in Excel: A Concise Guide to Concepts and Methods, veteran quantitative modeling and business analysis expert Dr. Michael Rees delivers a practical and hands-on introduction to financial modeling in Excel. The author offers readers a well-structured and strategic toolkit to learn modeling from scratch, focusing on the core economic concepts and the structures commonly required within Excel models. Divided into six parts, the book discusses the use of models and the factors to consider when designing and building models so that they can be as powerful as possible, yet simple. Further Topics Sections, which introduce advanced aspects of many areas, in order to provide further benefit to more advance readers, whilst presenting the truly essential topics separately. Examples of these include introductions to PowerQuery and PowerPivot, as well as advanced waterfall structures.

Название: Excel Cookbook: Recipes for Mastering Microsoft Excel (Early Release)
Автор: Dawn Griffiths
Издательство: O’Reilly Media, Inc.
Год: 2023-02-13
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Filled with tips, tricks, and techniques, this easy-to-use book is the perfect resource for intermediate to advanced users of Excel. You'll find complete recipes for more than a dozen topics covering formulas, PivotTables, charts, Power Query, and more. Each recipe poses a particular problem and outlines a solution that you can put to use right away—without having to comb through tutorial pages. Whether you're a data analyst, project manager, or financial analyst, author Dawn Griffiths directs you straight to the answers you need. Ideal as a quick reference, Excel Cookbook is also perfect for learning how to work in a more efficient way, leading to greater productivity on the job. With this book, you'll jump in and get answers to your questions—fast.

Название: ServiceNow Certified System Administrator (CSA) 10 Practice Exams
Автор: Muhammad Zeeshan Ali, Saqib Javed John
Издательство: OGMC Publications
Год: 2023
Страниц: 653
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

This book contains 10 practice exams with thought provoking questions to challenge your thinking and understanding, with great clarity, and each exam is designed to practice, manage and adjust the pace and time before going into of the real ServiceNow CSA exam. Answers are given at the end of each test to evaluate exam score and capability. It is very effective for students and professionals looking to appear in “Certified System Administrator” (CSA) exam in near future or later. This Book is the right choice which gives you the opportunity to prepare for exam in a simplest way that ensures your success in first try. The authors of this book have provided all the information based on their personal knowledge and experience with good intentions. However, we strongly recommend consulting other books and information material to maximize your chances of success in the CSA or any other ServiceNow exam.

Название: Performance, Reliability, and Availability Evaluation of Computational Systems, Volume 2: Reliability, Availability Modeling
Автор: Paulo Romero, Martins Maciel
Издательство: CRC Press
Год: 2023
Страниц: 748
Язык: английский
Формат: pdf (true)
Размер: 27.9 MB

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Volume II is composed of the last two parts. Part III examines reliability and availability modeling by covering a set of fundamental notions, definitions, redundancy procedures, and modeling methods such as Reliability Block Diagrams (RBD) and Fault Trees (FT) with the respective evaluation methods, adopts Markov chains, Stochastic Petri nets and even hierarchical and heterogeneous modeling to represent more complex systems. Part IV discusses performance measurements and reliability data analysis. It first depicts some basic measuring mechanisms applied in computer systems, then discusses workload generation. After, we examine failure monitoring and fault injection, and finally, we discuss a set of techniques for reliability and maintainability data analysis.

Название: Performance, Reliability, and Availability Evaluation of Computational Systems, Volume I: Performance and Background
Автор: Paulo Romero, Martins Maciel
Издательство: CRC Press
Год: 2023
Страниц: 841
Язык: английский
Формат: pdf (true)
Размер: 22.4 MB

This textbook intends to be a comprehensive and substantially self-contained two-volume book covering performance, reliability, and availability evaluation subjects. The volumes focus on computing systems, although the methods may also be applied to other systems. The first volume covers Chapter 1 to Chapter 14, whose subtitle is ``Performance Modeling and Background". The second volume encompasses Chapter 15 to Chapter 25 and has the subtitle ``Reliability and Availability Modeling, Measuring and Workload, and Lifetime Data Analysis". This text is helpful for computer performance professionals for supporting planning, design, configuring, and tuning the performance, reliability, and availability of computing systems. Such professionals may use these volumes to get acquainted with specific subjects by looking at the particular chapters. Many examples in the textbook on computing systems will help them understand the concepts covered in each chapter. The text may also be helpful for the instructor who teaches performance, reliability, and availability evaluation subjects. Many possible threads could be configured according to the interest of the audience and the duration of the course. Chapter 1 presents a good number of possible courses programs that could be organized using this text.

Название: Playing Software: Homo Ludens in Computational Culture
Автор: Miguel Sicart
Издательство: The MIT Press
Год: 2023
Страниц: 205
Язык: английский
Формат: pdf (true), epub
Размер: 13.4 MB

The play element at the heart of our interactions with computers—and how it drives the best and the worst manifestations of the information age. Whether we interact with video games or spreadsheets or social media, playing with software shapes every facet of our lives. In Playing Software, Miguel Sicart delves into why we play with computers, how that play shapes culture and society, and the threat posed by malefactors using play to weaponize everything from conspiracy theories to extractive capitalism. Starting from the controversial idea that software is an essential agent in the information age, Sicart considers our culture in general—and our way of thinking about and creating digital technology in particular—as a consequence of interacting with software’s agency through play.

Название: Архитектура компьютера
Автор: Догадин Н. Б.
Издательство: Лаборатория знаний
Год: 2020
Cтраниц: 274
Формат: pdf
Размер: 19 мб
Язык: русский

В книге изложены базовые сведения о конструкции, принципах работы и применения основных и периферийных компонентов современного персонального компьютера. Для студентов специальности «Информатика» педагогических вузов.

Название: Handbook of Mobility Data Mining, Volume 3: Mobility Data-Driven Applications
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 244
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Handbook of Mobility Data Mining: Volume Three: Mobility Data-Driven Applications introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile Big Data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. Volume 3: Mobility Data-driven Applications looks at various case studies to illustrate and explore the methods introduced in the first two volumes. It begins with a set of chapters on intelligent transportation management, using cases of bicycle-sharing, ride-hailing, travel time prediction, railway usage analysis, mobility data-driven service, and dynamic road pricing. It concludes with chapters on urban sustainability development, including road emission and living environment inequity analysis.

Название: Handbook of Mobility Data Mining, Volume 2: Mobility Analytics and Prediction
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 212
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. Volume 2: Mobility Analytics and Prediction provides a basis for how to simulate and predict mobility data. After an introductory theory chapter, it then covers crucial topics such as long-term mobility pattern analytics, mobility data generators, user information inference, grid-based population density prediction, and more. It concludes with a chapter on graph-based mobility data analytics.

Название: Handbook of Mobility Data Mining, Volume 1: Data Preprocessing and Visualization
Автор: Haoran Zhang
Издательство: Elsevier
Год: 2023
Страниц: 224
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization introduces the fundamental technologies of mobile Big Data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile Big Data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. This volume focuses on how to efficiently pre-process mobile Big Data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile Big Data mining.