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 Название: Introduction to Data Analytics for Accounting, 2nd Edition
Автор: Vernon J. Richardson, Katie L. Terrell, Ryan A. Teeter
Издательство: McGraw Hill
Год: 2024
Страниц: 689
Язык: английский
Формат: pdf (true)
Размер: 32.4 MB
The combination of computerization and automation of many accounting tasks as well as the explosion of available data is changing the accounting profession. To address this, accountants are increasingly required to have an analytics mindset to perform their jobs. Building upon the fundamentals of accounting learned in prior courses, Introduction to Data Analytics for Accounting explores accounting concepts through the application of data analytics. We recognize students need to not only develop the skills to ask the right questions, but to learn how to use tools they may encounter in the workplace such as Excel, Tableau, and PowerBI to examine and analyze data, and then effectively interpret results to make business decisions. This analytics mindset is crucial early in the study of accounting to meet the demands of today's accounting jobs. | |
Разместил: Ingvar16 26-04-2024, 00:58 | Комментарии: 0 | Подробнее
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 Название: Statistical Thinking: Analyzing Data in an Uncertain World
Автор: Russell A. Poldrack
Издательство: Princeton University Press
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 50.5 MB
An essential introduction to statistics for students of psychology and the social sciences. Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing cutting-edge ideas from the fields of machine learning and data science that help students effectively use statistical methods to ask questions about data. Statistical Thinking provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data. The only way to really learn statistics is to do statistics. While many statistics courses historically have been taught using point-and-click statistical software, it is increasingly common for statistical education to use open source languages in which students can code their own analyses. I think that being able to code one’s analyses is essential in order to gain a deep appreciation for statistical analysis, which is why the students in my course at Stanford are expected to learn to use the R statistical programming language to analyze data, alongside the theoretical knowledge that they learn from this book. There are two openly available companions to this textbook that can help the reader get started learning to program; one focuses on the R programming language, and another focuses on the Python language. | |
Разместил: Ingvar16 25-04-2024, 06:52 | Комментарии: 0 | Подробнее
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 Название: Management Science using Excel: Harnessing Excel's advanced features for business optimization
Автор: Isaac Gottlieb
Издательство: BPB Publications
Год: 2024
Страниц: 606
Язык: английский
Формат: pdf, epub
Размер: 23.9 MB
A practical guide to using Excel for decision making, forecasting, optimization, and more. With this book, you will acquire a strong understanding of Management Science in the decision-making field while mastering the solutions with Microsoft Excel. This book alleviates complicated mathematical models with easy Microsoft Excel tools. Management science is a practice of problem-solving and decision-making in organizations, business, and other fields. It uses various analytical methods, including mathematical modeling and statistics, to improve the ability of better decision’s making. The techniques in this book range from maximization of profit, performance, and Return on Investment (ROI) to minimization (cost, time, risk) through Monte Carlos simulations, sensitivity analysis, and other tools. The readers will find countless real-life examples and case studies from banking, finance, transportation, manufacturing, manpower assignment, scheduling, and inventory management through food and product mix. This book's linear and nonlinear techniques utilize the Excel Solver for the solutions. Once you get the hang of using the Solver – you can apply the tools learned to solve problems of your background, experience, and choice. This book takes a hands-on approach using Excel to solve these problems. Instead of using complex mathematical formulations and algorithms – you will learn to set up and solve these problems in an easy-to-follow manner in Excel. | |
Разместил: Ingvar16 24-04-2024, 16:31 | Комментарии: 0 | Подробнее
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 Название: Windows 10 For Beginners - 18th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 122
Язык: английский
Формат: pdf
Размер: 44.9 MB
"Windows 10 для начинающих" - это первый и единственный выбор, если вы новичок и хотите узнать все, что вам нужно для начала работы с этой операционной системой. Это независимое руководство наполнено полезными рекомендациями и пошаговыми полностью иллюстрированными учебными пособиями, написанными на простом и понятном английском языке. На страницах этого нового руководства пользователя вы узнаете все, что нужно знать о настройках "из коробки", освоите более сложные функции и откроете для себя огромное количество удивительных приложений. С этим неофициальным руководством ни одна проблема не будет неразрешимой, ни один вопрос не останется без ответа, пока вы учитесь, изучаете и расширяете свой пользовательский опыт. | |
Разместил: Ingvar16 24-04-2024, 04:34 | Комментарии: 0 | Подробнее
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Название: Весь Linux. Для тех, кто хочет стать профессионалом
Автор: Матвеев М. Д.
Издательство: Наука и техника
Год: 2024
Формат: PDF
Страниц: 706
Размер: 67 Mb
Язык: Русский
Эта книга содержит в себе как теоретические, так и практические материалы по Linux, тем самым вы сразу сможете использовать полученную теорию на практике.
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Разместил: Chipa 21-04-2024, 10:46 | Комментарии: 0 | Подробнее
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 Название: Windows 11 For Beginners - 11th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 35.2 MB
Windows 11 For Beginners - это полное руководство для начинающих пользователей настольных компьютеров и ноутбуков, а также для тех, кто хочет узнать все, что нужно для начала работы с операционной системой Microsoft. Это отдельное руководство написано простым и понятным языком и содержит практические советы и пошаговые иллюстрированные инструкции. В этом руководстве вы узнаете все, что нужно знать о компьютерах и приложениях, разобравшись в функциях операционной системы. С помощью этого неофициального руководства вам не составит труда изучить, освоить и улучшить работу с Windows 11. | |
Разместил: Ingvar16 21-04-2024, 07:15 | Комментарии: 0 | Подробнее
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 Название: Spatiotemporal Data Analytics and Modeling: Techniques and Applications
Автор: John A, Satheesh Abimannan, El-Sayed M. El-Alfy
Издательство: Springer
Серия: Big Data Management
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf (true), epub
Размер: 18.9 MB
With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with Artificial Intelligence and Machine Learning and Internet of Things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with Artificial Intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of Artificial Intelligence and Machine Learning for spatiotemporal data analysis and modeling. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as Data Science and engineering, Big Data analytics and mining, Artificial Intelligence, Machine Learning and Deep Learning, cloud computing, and Internet of Things. | |
Разместил: Ingvar16 18-04-2024, 18:50 | Комментарии: 0 | Подробнее
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 Название: Linux For Beginners - 18th Edition 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Язык: английский
Формат: pdf
Размер: 34.7 MB
Эта книга содержит подробное введение в основные функции и возможности Linux, включая установку дистрибутива Linux на компьютер, использование командной строки, управление пользователями и файлами, создание сетевых соединений и настройку различных служб. Вы также узнаете, как писать и использовать сценарии Bash. Как введение в программирование для Linux, эта книга будет полезна как профессионалам, так и любителям, предоставляя всю информацию, необходимую для того, чтобы войти в мир программирования для Linux и создавать отличные приложения. В этой книге вы найдете всю информацию, необходимую для того, чтобы войти в мир программирования под Linux и создавать отличные приложения. | |
Разместил: Ingvar16 18-04-2024, 03:32 | Комментарии: 0 | Подробнее
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 Название: Text and Math Into LaTeX, 6th Edition
Автор: George Grätzer
Издательство: Springer
Год: 2024
Страниц: 628
Язык: английский
Формат: pdf (true)
Размер: 33.0 MB
For more than 30 years,this comprehensive manual has been the standard introduction and complete reference for writing articles and books containing mathematical formulas. This sixth edition uses a slightly changed title, Text and Math into LaTeX, to emphasize the importance of text in mathematical/scientific composition. Sections that contained commands no longer much needed (such as includeonly) and the introductory sections to PDF (now ubiquitous) have been omitted. Many sections are now enhanced with discussion of new and useful packages. An occasional encouragement for the reader to consult ChatGPT for confirmation on various points illustrates the positive relationship between ChatGPT and LaTeX. LaTeX is widely used in many fields, including mathematics, Computer Science, engineering, physics, chemistry, economics, and linguistics. (ChatGPT lists 45 fields). Part I provides a quick introduction to LATEX, from typing examples of text and math to typing your first article such as on that shown on page 4 and similarly: creating your first presentation, such as the sample presentation, in a very short time. The rest of the book provides a detailed exposition of LATEX. LATEX has a huge collection of rules and commands. While the basics in Part I should serve you well in all your writing, most articles and presentations will also require to look up some special topics. | |
Разместил: Ingvar16 17-04-2024, 21:01 | Комментарии: 0 | Подробнее
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 Название: Frame Theory in Data Science
Автор: Zhihua Zhang, Palle E.T. Jorgensen
Издательство: Springer
Год: 2024
Страниц: 262
Язык: английский
Формат: pdf (true), epub
Размер: 39.3 MB
This book establishes brand-new frame theory and technical implementation in Data Science, with a special focus on spatial-scale feature extraction, network dynamics, object-oriented analysis, data-driven environmental prediction, and climate diagnosis. Given that Data Science is unanimously recognized as a core driver for achieving Sustainable Development Goals of the United Nations, these frame techniques bring fundamental changes to multi-channel data mining systems and support the development of digital Earth platforms. This book integrates the authors' frame research in the past twenty years and provides cutting-edge techniques and depth for scientists, professionals, and graduate students in Data Science, applied mathematics, environmental science, and geoscience. In this book, we have established the theory of Dirac frames, polynomial frames, quasiorthogonal frames, periodic frames, and frame trees, and characterized adaptive segmentation of data spectral domain by quasi-orthogonal and pseudo-project frame operators. As an emerging branch of statistical and Deep Learning, frame networks can automatically acquire novel knowledge from observation data through a statistical learning process and then makes reliable predictions and downscaling. A frame network consists of three layers: the input layer, the hidden layer, and the output layer, where various frames are embedded into each node of the hidden layer and frame coefficients are used as the weight of the directed edges from one node to another node. | |
Разместил: Ingvar16 15-04-2024, 17:20 | Комментарии: 0 | Подробнее
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