Название: Работа с данными в любой сфере
Автор: Кирилл Еременко
Язык: русский
Издательство: Альпина Диджитал
Год: 2019
Страниц: 350 стр. 100 иллюстраций
Формат: pdf
Размер: 10,1 Мб

Что общего у аналитика данных и Шерлока Холмса? Как у Netflix получилось создать 100 %-ный хит – сериал «Карточный домик»? Ответ кроется в правильном использовании данных. Эта книга – практическое руководство и увлекательное путешествие в науку о данных, независимо от того, хотите ли вы использовать анализ данных в своей профессии, собираетесь ли стать аналитиком данных, или уже работаете в этой области.

Название: SQL: The Ultimate Beginner's Guide to Learn SQL Programming Step by Step
Автор: Ryan Turner
Издательство: Amazon Digital Services LLC
Год: 2019
Страниц: 275
Язык: английский
Формат: epub, pdf (conv)
Размер: 10.1 MB

Are you looking for a dynamic and workable programming language? Have you tried a few but none seem to work to your liking? Have you considered SQL? There are literally thousands of programming languages available in today’s market, ranging from the simple to the infinitely complex. As a beginner you probably want something that is easy to use and to get your head around and SQL, or Structured Query Language, could be the answer.

Название: Real-Time Data Analytics for Large Scale Sensor Data Volume Six
Автор: Himansu Das (Editor), Nilanjan Dey (Editor), Valentina Emilia Balas (Editor)
Издательство: Academic Press
Год: 2019
Формат: PDF(conv.)
Страниц: 267
Размер: 37 Mb
Язык: English

Real-Time Data Analytics for Large-Scale Sensor Data covers the theory and applications of hardware platforms and architectures, the development of software methods, techniques and tools, applications, governance and adoption strategies for the use of massive sensor data in real-time data analytics. It presents the leading-edge research in the field and identifies future challenges in this fledging research area. The book captures the essence of real-time IoT based solutions that require a multidisciplinary approach for catering to on-the-fly processing, including methods for high performance stream processing, adaptively streaming adjustment, uncertainty handling, latency handling, and more.

Название: Model Management and Analytics for Large Scale Systems
Автор: Bedir Tekinerdogan (Editor), Önder Babur (Editor), Loek Cleophas (Editor), Mark van den Brand (Editor)
Издательство: Academic Press
Год: 2019
Формат: PDF(conv.)
Страниц: 322
Размер: 34.4 Mb
Язык: English

Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of those artefacts has increased. Originally developed for software engineering, these approaches can now be used to simplify the analytics of large-scale models and automate complex data analysis processes. Those in the field of data science will gain novel insights on the topic of model analytics that go beyond both model-based development and data analytics.

Название: Data Science for Business and Decision Making
Автор: Luiz Paulo Fávero, Patrícia Belfiore
Издательство: Academic Press
Год: 2019
Формат: PDF (conv.)
Страниц: 1240
Размер: 29.3 Mb
Язык: English

Data Science for Business and Decision Making covers both statistics and operations research while most competing textbooks focus on one or the other. As a result, the book more clearly defines the principles of business analytics for those who want to apply quantitative methods in their work. Its emphasis reflects the importance of regression, optimization and simulation for practitioners of business analytics. Each chapter uses a didactic format that is followed by exercises and answers. Freely-accessible datasets enable students and professionals to work with Excel, Stata Statistical Software®, and IBM SPSS Statistics Software®.

Название: Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions (Intelligent Data-Centric Systems: Sensor Collected Intelligence)
Автор: Hemanth D. Jude (Editor), Deepak Gupta (Editor), Valentina Emilia Balas (Editor)
Издательство: Academic Press
Год: 2019
Формат: PDF(conv.)
Страниц: 260
Размер: 15.2 Mb
Язык: English

Intelligent Data Analysis for Biomedical Applications: Challenges and Solutions presents specialized statistical, pattern recognition, machine learning, data abstraction and visualization tools for the analysis of data and discovery of mechanisms that create data. It provides computational methods and tools for intelligent data analysis, with an emphasis on problem-solving relating to automated data collection, such as computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring, and more. This book provides useful references for educational institutions, industry professionals, researchers, scientists, engineers and practitioners interested in intelligent data analysis, knowledge discovery, and decision support in databases.

Название: Take Control of Upgrading to Catalina
Автор: Joe Kissell
Издательство: Amazon Digital Services LLC
Год: 2019
Формат: epub/mobi/pdf(conv.)
Размер: 10.7 Mb
Язык: English

macOS 10.15 Catalina makes your Mac more powerful, safer, and easier to use. But upgrading from an older version of macOS can sometimes be a confusing and frustrating experience--especially if you're currently running a much older operating system, or if you encounter unexpected hiccups in the process. And this time, there are a few more gotchas than usual--including the elimination of support for 32-bit apps and certain other types of third-party software, additional changes to the disk structure that may affect your backups, and an unexpectedly large number of security alerts. But forewarned is forearmed, and this book guides you through everything you need to know to successfully upgrade your Mac to Catalina.

Название: Getting the Most from LINQPad Succinctly
Автор: Jose Roberto Olivas Mendoza
Издательство: Syncfusion
Год: 2019
Формат: true pdf/epub/mobi
Страниц: 112
Размер: 11.1 Mb
Язык: English

LINQPad is a powerful testing tool for all .NET developers that can help them deliver solutions in less time. In Getting the Most from LINQPad Succinctly, returning Succinctly series author José Roberto Olivas Mendoza lays out different ways to extend the functionality built into LINQPad. In this ebook, you’ll learn how to use LINQPad to query Entity Framework models in Visual Studio, how to work with the LINQPad command-line utility, how to write your own extensions and visualizers, and how to write custom data context drivers.

Название: Hadoop for Windows Succinctly
Автор: Dave Vickers
Издательство: Syncfusion
Год: 2019
Формат: True PDF/ePub
Страниц: 150
Размер: 10.8 Mb
Язык: English

Author Dave Vickers provides a thorough guide to using Hadoop directly on Windows operating systems. From a conceptual overview to practical examples, Hadoop for Windows Succinctly is a valuable resource for developers.

Название: Релевантный поиск с использованием Elasticsearch и Solr
Автор(ы): Даг Тарнбулл, Джон Берримен
Издательство: ДМК
Год: 2018
Страниц: 406
Формат: PDF
Размер: 93 Мб
Язык: русский

Пользователи привыкли почти мгновенно получать релевантные результаты от поисковых приложений. Чтобы создавать такие приложения, вы должны овладеть механизмами поиска. Однако для многих разработчиков тема ранжирования релевантности остается почти мистической.