Название: Learn Data Mining Through Excel: A Step-by-Step Approach for Understanding Machine Learning Methods, 2nd Edition
Автор: Hong Zhou
Издательство: Apress
Год: 2023
Страниц: 289
Язык: английский
Формат: pdf (true), epub (true)
Размер: 31.9 MB

Use popular data mining techniques in Microsoft Excel to better understand machine learning methods. Most software tools and programming language packages take data input and deliver data mining results directly, presenting no insight on working mechanics and creating a chasm between input and output. This is where Excel can help, and this book will show you exactly how. This updated edition demonstrates how to work with data in a transparent manner using Excel. When you open an Excel file, data is visible immediately and you can work with it directly. You’ll see how to examine intermediate results even as you are still conducting your mining task, offering a deeper understanding of how data is manipulated, and results are obtained. These are critical aspects of the model construction process that are often hidden in software tools and programming language packages. Anyone who is interested in learning data mining or Machine Learning, especially data science visual learners and people skilled in Excel who would like to explore Data Science topics and/or expand their Excel skills. A basic or beginner level understanding of Excel is recommended.

Название: Data Smart: Using Data Science to Transform Information into Insight, 2nd Edition
Автор: Jordan Goldmeier
Издательство: Wiley
Год: 2024
Страниц: 445
Язык: английский
Формат: pdf (true)
Размер: 33.6 MB

A straightforward and engaging approach to Data Science that skips the jargon and focuses on the essentials. In the newly revised second edition of Data Smart: Using Data Science to Transform Information into Insight, accomplished data scientist and speaker Jordan Goldmeier delivers an approachable and conversational approach to data science using Microsoft Excel’s easily understood features. The author also walks readers through the fundamentals of statistics, machine learning and powerful Artificial Intelligence (AI) concepts, focusing on how to learn by doing. Data Science is the transformation of data using mathematics and statistics into valuable insights, decisions, and products. At the end of this book, I’ll show you how to implement what we’ve built in Excel in R. In fact, this follows my own path in building data science tools for companies. First, I would lay out my ideas in Excel. Use the spreadsheet as a way to validate my ideas and make sure I understand exactly what the algorithms do. Then, usually, when I’m ready, I move it to R or Python.

Название: Beginning Power BI for Business Users: Learning to Turn Data into Insights
Автор: Paul D. Fuller
Издательство: Wiley
Год: 2024
Страниц: 288
Язык: английский
Формат: epub (true)
Размер: 39.5 MB

Discover the utility of your organization's data with Microsoft Power BI. In Beginning Power BI for Business Users: Learning to Turn Data into Insights, accomplished data professional and business intelligence expert Paul Fuller delivers an intuitive and accessible handbook for professionals seeking to use Microsoft's Power BI to access, analyze, understand, report, and act on the data available to their organizations. In the book, you'll discover Power BI's robust feature set, learn to ingest and model data, visualize and report on that data, and even use the DAX scripting language to unlock still more utility from Microsoft's popular program. Beginning with general principles geared to readers with no or little experience with reporting or data analytics tools, the author walks you through how to manipulate common, publicly available data sources—including Excel files and relational databases. As a data analytics engineer, I've loved using Power BI since it was introduced many years ago. But I'm a tech nerd. And many of the experts in Power BI are also geeks like me. But here's the thing—Power BI is meant to be a tool for business users and data analysts. It's intended to be simple enough to get started and see amazing things quickly but sophisticated enough that the information technology (IT) folks can use it as well.

Название: Practical Linux System Administration: A Guide to Installation, Configuration, and Management (Final)
Автор: Kenneth Hess
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 249
Язык: английский
Формат: True PDF, True EPUB (Retail Copy)
Размер: 10.2 MB

This essential guide covers all aspects of Linux system administration, from user maintenance, backups, filesystem housekeeping, storage management, and network setup to hardware and software troubleshooting and some application management. It's both a practical daily reference manual for sysadmins and IT pros and a handy study guide for those taking Linux certification exams. You'll turn to it frequently, not only because of the sheer volume of valuable information it provides but because of the real-world examples within and the clear, useful way the information is presented. This book is for anyone who wants to explore Linux for the first time as a system administrator or for someone who wants to transition to such a role for work or as a serious hobby. It’s also meant for those preparing to take certification exams requiring some Linux knowledge.

Название: Приручи данные с помощью Power Query в Excel и Power BI
Автор: Эскобар М., Пульс К.
Издательство: ДMK
Год: 2022
Cтраниц: 572
Формат: pdf
Размер: 20 мб
Язык: русский

Уму непостижимо, как легко и просто можно очистить данные с помощью Power Query в Excel или Power BI! Наши данные редко появляются на свет в готовом к работе виде, и у нас могут уходить долгие часы на их очистку, фильтрацию и преобразование. Power Query помогает сократить этот процесс при первичной обработке данных, а все последующие обновления позволяет свести к простому нажатию на кнопку.

Название: The Complete Windows 11 User Manual - 8th Edition 2023
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2023
Страниц: 196
Язык: английский
Формат: pdf
Размер: 106.9 MB

Everything you need to master Windows 11! Since its release in October 2021, Windows 11 has rapidly become the mainstay operating system for the beginner, intermediate and advanced computer user. It's designed to push the boundaries, to encompass the everyday digital, and help bring us closer together than ever before. It brings a fresh new look, together with powerful new code under the hood. Everything you need to help drive you into the future. This manual will guide you through Microsoft's latest OS, offering you something new to learn on every page and providing you with the necessary knowledge to make Windows 11 work for you. In here you'll find tutorials and tips, secrets of the OS will be unlocked, and your understanding of how everything works will help make you become an advanced user. So, let's dive into Windows and start building both your confidence and understanding of this rather marvellous operating system.

Название: Методы, модели, средства хранения и обработки данных
Автор: Дадян Э.Г, Зеленков Ю.А.
Издательство: Вузовский учебник
Год: 2022
Формат: pdf
Страниц: 168
Размер: 39 mb
Язык: русский

В учебнике рассмотрены следующие вопросы: теория, методология и практика работы с данными, базами данных, базами знаний и хранилищами данных; модели представления данных в памяти компьютера — модель «сущность — связь»; дореляционные модели представления данных, реляционные базы данных; проектирование реляционных баз данных; направления развития баз данных; физическая организация систем управления базами данных.

Название: Impact Measurement and Outcomes Evaluation Using Salesforce for Nonprofits: A Guide to Data-Driven Frameworks
Автор: Dustin MacDonald
Издательство: Apress
Год: 2023
Страниц: 238
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Conduct impact measurement and outcomes evaluation, with a specific focus on nonprofits, using Salesforce Nonprofit Cloud (aka Salesforce for Nonprofits). As funding grows more challenging for nonprofits, having a robust technology system in place allows nonprofits to better seek out funding and receive more when they do. Readers of this book will be better positioned to ensure the long-term success of their organization and make maximum use of their technology. The book begins with an introduction to Salesforce and to Nonprofit Cloud for users who may be new to the platform. Next, you will learn the fundamentals of impact measurement and outcomes evaluation. You will understand why these are important and discover several frameworks that can be used to select outcomes that make sense for your organization to prove that its work is successful. These frameworks include Social Return on Investment (SROI), Cost-Benefit Analysis (CBA), and Pre and Post Comparison (and others). For Salesforce administrators, nonprofit staff members, and others working at nonprofits who are required to conduct impact measurement and outcomes evaluation.

Название: Drone Data Analytics in Aerial Computing
Автор: P. Karthikeyan, Sathish Kumar, V. Anbarasu
Издательство: Springer
Серия: Transactions on Computer Systems and Networks
Год: 2023
Страниц: 282
Язык: английский
Формат: pdf (true), epub
Размер: 57.7 MB

Drone data analytics guarantee that the right people have the correct data at their fingertips whenever needed. Drone flight gathers a Terabyte of data and geo-tagged reference points without traditional ground control. The data automatically uploads to the aerial computing platform. Aerial computing analyzes the data and generates the required output in visualization, graph, and action. This book presents a comprehensive overview of Drone Data Analytics in Aerial Computing, exploring the latest techniques, tools, and technologies in this rapidly growing field. This book aims to provide readers with a comprehensive understanding of drone data analytics and aerial computing. It aims to bridge the gap between the technical and non-technical aspects, making it accessible and understandable to a wide range of readers. The world of AI and Data Science is changing fast, and so are its successor technologies. One of the latest additions to this stack is Federated analytics. Federated Learning (FL) is a way to train centralized Machine Learning models on decentralized data. A dominant application of Federated Learning has been In the medical sector, where data privacy and accuracy are of prime importance. Another application where Federated Learning can make a mark is federated analytics for drone technology.

Название: Data Analysis and Optimization: In Honor of Boris Mirkin's 80th Birthday
Автор: Boris Goldengorin, Sergei Kuznetsov
Издательство: Springer
Год: 2023
Страниц: 447
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB

This book presents the state-of-the-art in the emerging field of Data Science and includes models for layered security with applications in the protection of sites―such as large gathering places―through high-stake decision-making tasks. Such tasks include cancer diagnostics, self-driving cars, and others where wrong decisions can possibly have catastrophic consequences. The manipulability of aggregation procedures for the case of large numbers of voters is analyzed from a theoretical point of view and justified by computational experiments involving at least an order of magnitude larger number of voters. Many tree-type structures are considered: from phylogenetic trees representing the main patterns of vertical descent through consensus trees and super- trees widely used in evolutionary studies to combine phylogenetic information contained in individual gene trees. The statistical part of this book studies an impact of data mining and modeling on predictability assessment of time series. New notions of mean values based on ideas of multicriteria optimization are compared to their conventional definitions leading to fresh algorithmic approaches. To summarize, the book presents methods for automated analysis of patterns and models for data of different nature with applications ranging from scientific discovery to business intelligence and analytics. The style of the written chapters allows to recommend this book for senior undergraduate and graduate data mining courses providing a broad yet in-depth review integrating novel concepts from Machine Learning and statistics.