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Название: Data Science: New Issues, Challenges and Applications (Studies in Computational Intelligence)
Автор: Gintautas Dzemyda (Editor), Jolita Bernatavičienė (Editor), Janusz Kacprzyk (Editor)
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 313
Размер: 10.2 Mb
Язык: English

This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking.

Название: Big Data Analytics: A Practical Guide for Managers
Автор: Kim H. Pries, Robert Dunnigan
Издательство: Auerbach Publications / CRC Press
Год: 2015
Страниц: 564
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market.

Название: Library Information Systems, Second Edition (Library and Information Science Text)
Автор: Joseph R. Matthews, Carson Block
Издательство: Libraries Unlimited
Год: 2019
Формат: True PDF
Страниц: 321
Размер: 11.6 Mb
Язык: English

Information systems are central to libraries, and managing information systems is critical to serving library communities. Both a textbook for LIS courses and a handbook for practitioners, this volume thoroughly addresses modern libraries' challenges of integrating information technology.

Название: Mike Meyers' CompTIA A+ Certification Passport, 7th Edition (Exams 220-1001 & 220-1002)
Автор: Mike Meyers, Mark Soper
Издательство: McGraw-Hill Education
Год: 2020
Формат: epub
Страниц: 752
Размер: 63.8 Mb
Язык: English

Fully redesigned and updated to provide accelerated review of all the topics covered on the new Core 1 and Core 2 CompTIA A+ exams
Get on the fast track to becoming CompTIA A+ certified with this affordable, portable study tool. Inside, certification training guru Mike Meyers guides you on your exam preparation path, providing expert tips and sound advice along the way. With an intensive focus on only what you need to know to pass the CompTIA A+ 220-1001 & 220-1002 exams, this certification passport is your ticket to success on exam day.

Название: Windows 10 For Beginners 2020
Автор: Black Dog Media
Издательство: Papercut Ltd
Год: 2020
Страниц: 122
Язык: английский
Формат: pdf
Размер: 69.3 MB

Руководство по Windows 10 для начинающих.

Название: Database Concepts
Автор: David M. Kroenke, David Auer, Scott L. Vandenberg, Robert C. Yoder
Издательство: Pearson
Год: 2020
Формат: PDF
Страниц: 552
Размер: 49,6 Mb
Язык: English

Hands-on exploration of database fundamentals
Database Concepts offers students practical help creating and managing small databases, from two of the world’s leading database authorities. The text focuses on database concepts, rather than features and functions of a particular product, making it flexible enough to work with the instructor’s preferred software. Data sets for three sample databases run throughout portions of the text so students can practice working with complete databases.

Название: Data Skills for Media Professionals : A Basic Guide
Автор: Ken Blake, Jason Reineke
Издательство: Wiley-Blackwell
Год: 2020
Формат: PDF
Страниц: 222
Размер: 10 Mb
Язык: English

Teaches the basic, yet all-important, data skills required by today's media professionals
The authors of Data Skills for Media Professionals have assembled a book that teaches key aspects of data analysis, interactive data visualization and online map-making through an introduction to Google Drive, Google Sheets, and Google My Maps, all free, highly intuitive, platform-agnostic tools available to any reader with a computer and a web connection. Delegating the math and design work to these apps leaves readers free to do the kinds of thinking that media professionals do most often: considering what questions to ask, how to ask them, and how to evaluate and communicate the answers.

Название: Quantitative Economics with R: A Data Science Approach
Автор: Vikram Dayal
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 326
Размер: 16.2 Mb
Язык: English

This book provides a contemporary treatment of quantitative economics, with a focus on data science. The book introduces the reader to R and RStudio, and uses expert Hadley Wickham’s tidyverse package for different parts of the data analysis workflow. After a gentle introduction to R code, the reader’s R skills are gradually honed, with the help of “your turn” exercises.

Название: Mac Os Catalina For Beginners 2020
Автор: BDM
Издательство: Papercut Ltd
Год: 2020
Формат: PDF
Страниц: 96
Размер: 62,6 Mb
Язык: English

Apple gives macOS new features and improvements right on your desktop and under the hood with Catalina—aka OS X 10.15. With this updated guide, you'll learn how to use your iPad as a second screen, work with iPad apps on your Mac, and use Screen Time on your Mac. This new edition of the #1 bestselling Mac book shows you how to use the revamped apps for Music, Podcasts, and TV.

Название: Classification Methods for Internet Applications (Studies in Big Data Book 69)
Автор: Martin Holena, Petr Pulc, Martin Kopp
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 281
Размер: 14 Mb
Язык: English

This book explores internet applications in which a crucial role is played by classification, such as spam filtering, recommender systems, malware detection, intrusion detection and sentiment analysis. It explains how such classification problems can be solved using various statistical and machine learning methods, including K nearest neighbours, Bayesian classifiers, the logit method, discriminant analysis, several kinds of artificial neural networks, support vector machines, classification trees and other kinds of rule-based methods, as well as random forests and other kinds of classifier ensembles.