Название: macOS Support Essentials 12 - Apple Pro Training Series: Supporting and Troubleshooting macOS Monterey
Автор: Benjamin G. Levy, Adam Karneboge
Издательство: Peachpit Press
Год: 2022
Страниц: 977
Язык: английский
Формат: pdf (true)
Размер: 32.3 MB

macOS Support Essentials 12, the official book for macOS support, is a top-notch primer for anyone who needs to support, troubleshoot, or optimize macOS Monterey, such as IT professionals, technicians, help desk specialists, and ardent Mac users. This is the only Apple Pro Training Series book that covers Monterey. You'll find in-depth, step-by-step instructions on everything from upgrading, updating, reinstalling and configuring macOS Monterey to setting-up network services. macOS Monterey 12 is the latest version of macOS. macOS combines a powerful open source UNIX foundation with a state-of-the-art user interface.

Название: Hands-On Data Analysis in R for Finance
Автор: Jean-Francois Collard
Издательство: CRC Press
Год: 2023
Страниц: 414
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The subject of this textbook is to act as an introduction to data science/data analysis applied to finance, using R and its most recent and freely available extension libraries. The targeted academic level is undergrad students with a major in data science and/or finance and graduate students, and of course practitioners/professionals who need a desk reference. Assumes no prior knowledge of R; The content has been tested in actual university classes; Makes the reader proficient in advanced methods such as machine learning, time series analysis, principal component analysis and more; Gives comprehensive and detailed explanations on how to use the most recent and free resources, such as financial and statistics libraries or open database on the internet.

Название: Data Science and Analytics for SMEs: Consulting, Tools , Practical Use Cases
Автор: Afolabi Ibukun Tolulope
Издательство: Apress
Год: 2022
Страниц: 341
Язык: английский
Формат: pdf (true), epub
Размер: 10.6 MB, 23.3 MB

Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations. In simple terms, Data Science refers to the ability to take data, generate an understanding from the data, process the data, extract value from the data, visualize the data, and present it in such a way that decisions can be made from this presentation. Data science is described as the process of extracting knowledge from huge amounts of data. It is an intersection of Mathematics, Statistics, Visualization, and Artificial Intelligence. Artificial Intelligence (AI) is a superset of machine learning, which is a superset of Deep Learning (DL).

Название: Data Science in Context: Foundations, Challenges, Opportunities
Автор: Alfred Z. Spector, Peter Norvig
Издательство: Cambridge University Press
Год: 2023
Страниц: 333
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Data Science is the foundation of our modern world. It underlies applications used by billions of people every day, providing new tools, forms of entertainment, economic growth, and potential solutions to difficult, complex problems. These opportunities come with significant societal consequences, raising fundamental questions about issues such as data quality, fairness, privacy, and causation. In this book, four leading experts convey the excitement and promise of Data Science and examine the major challenges in gaining its benefits and mitigating its harms. Some of Data Science’s most important techniques emerged from work across disciplines. While we include machine learning within computing, its development included contributions from statistics, pattern recognition, and neuropsychology. Information visualization arose from statistics, but has benefited greatly from computing’s contributions.

Название: IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, 17th Edition
Автор: Darren George, Paul Mallery
Издательство: Routledge
Год: 2022
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 16.6 MB

IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. IBM SPSS Statistics Software (“SPSS”) is a powerful tool that is capable of conducting just about any type of data analysis used in the social sciences, the natural sciences, or in the business world. Mathematics is the language of science, and data analysis is the dialect of research. The present book is designed to make data analysis more comprehensible and less toxic.

Название: Enterprise Systems Architecture: Aligning Business Operating Models to Technology Landscapes
Автор: Daljit Roy Banger
Издательство: Apress
Год: 2022
Страниц: 306
Язык: английский
Формат: pdf, epub
Размер: 17.0 MB

Enhance your technical and business skills to better manage your organization’s technology ecosystem. This book aims to explain how to align the technology landscape to service your company’s business operating model. The book begins by exploring different architectural approaches before taking a deep dive into multiple layers of the architectural stack and the methodology of each component. You’ll also learn about the many products delivered by enterprise architecture. To complete the book, author Daljit Banger delves into the various roles and responsibilities of an enterprise architect.

Название: Locating Eigenvalues in Graphs: Algorithms and Applications
Автор: Carlos Hoppen, David P. Jacobs, Vilmar Trevisan
Издательство: Springer
Год: 2022
Страниц: 142
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

This book focuses on linear time eigenvalue location algorithms for graphs. This subject relates to spectral graph theory, a field that combines tools and concepts of linear algebra and combinatorics, with applications ranging from image processing and data analysis to molecular descriptors and random walks. It has attracted a lot of attention and has since emerged as an area on its own. Perhaps surprisingly, eigenvalues and eigenvectors turn out to be intimately connected with the structure of a graph. In terms of applications, they have proved to be useful for isomorphism testing and embedding graphs in the plane, for graph partitioning and clustering, as topological descriptors for networks and molecules, in the geometric description of data sets in Data Science, and in the design of efficient networks, just to mention a few. In this book, we survey the evolution of eigenvalue location algorithms in an organized and unified way, starting with algorithms for trees and other well-known graph classes, such as cographs, and showing how they motivated more recent algorithms that may be applied to arbitrary graphs, but whose efficiency depends on the existence of a graph decomposition of low complexity. While they are vastly deeper than the simple tree algorithm, we wish to convince the readers that they are similar in spirit.

Название: Demystifying Graph Data Science: Graph algorithms, analytics methods, platforms, databases, and use cases
Автор: Pethuru Raj, Abhishek Kumar, Vicente García Díaz
Издательство: The Institution of Engineering and Technology
Год: 2022
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 32.8 MB

With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices interact purposefully to create huge sets of poly-structured digital data. Corporations are continuously seeking fresh ways to use their data to drive business innovations and disruptions to bring in real digital transformation. Data Science (DS) is proving to be the one-stop solution for simplifying the process of knowledge discovery and dissemination out of massive amounts of multi-structured data. Supported by query languages, databases, algorithms, platforms, analytics methods and Machine and Deep Learning (ML and DL) algorithms, graphs are now emerging as a new data structure for optimally representing a variety of data and their intimate relationships.

Название: Digital Economy, Business Analytics, and Big Data Analytics Applications
Автор: Saad G. Yaseen
Издательство: Springer
Серия: Studies in Computational Intelligence
Год: 2022
Страниц: 723
Язык: английский
Формат: pdf (true)
Размер: 18.9 MB

As the digital economy infiltrates almost every aspect of our lives and is moving at a breakneck speed, smart technologies including computational intelligence systems are changing our global business world. The added value of smart technologies is only realized when businesses apply big data analytics to uncover insights that can improve business optimization, competitiveness, and innovation performance. A thorough examination of the antecedents, consequences, and diffusion of the business analytics and big data analytics application shows that computational intelligence systems play a crucial role in business. Thus, the current book highlights cutting-edge applied research in the fields of business analytics, big data analytics, and business intelligence paradigms, models, techniques, tools, and applications. In the chapter "User Interface Development Tools and Software for Arduino “A Comparative Study”" we have introduced some of the most interesting user interface software for developing applications with Arduino modules.

Название: MrExcel 2022: Boosting Excel, 6th Edition
Автор: Bill Jelen
Издательство: Holy Macro! Books, Tickling Keys
Год: 2022
Страниц: 301
Язык: английский
Формат: pdf (true)
Размер: 23.0 MB

Originally designed for Bill Jelen's live Power Excel seminars, the target audience already uses Excel 40 hours a week. These tips are the "aha" tips that uncover secret methods in Excel. The book covers general Excel functions, pivot tables, and formulas such as VLOOKUP and the new XLOOKUP. It introduces elements of modern Excel such as the Power Pivot Data Model and cleaning data with Power Query. Updated annually, this edition for 2022 adds information on collaboration features, LET and LAMBDA functions, amazing new data types, dynamic array formulas, and more.