Название: SQL Programming For Beginners: The Guide With Step by Step Processes on Data Analysis, Data Analitics and Programming Language. Learn SQL Server Technique for Analyzing and Manipulating the Codes
Автор: Richard Machina
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 104
Язык: английский
Формат: pdf, azw3
Размер: 10.1 MB

The first SQL model was developed by Ted Code, who introduced the ability of communication between different storage units. His idea was later acquired by Donald Chamberlin and Raymond Boyce and developed the model in the 1970s. However, the version at the time was referred to as SEQUEL (Structured English Query Language) specifically designed to help in data storage and retrieval. More modifications were made over the years in IBM, with the first being done in a laboratory in San Jose, California, United States, where the first subscript notation was introduced. After testing the effectiveness of the software in customer test websites, SQL was then developed for use commercially after its usefulness and practicality determined.

Название: Machine Learning for Data Streams: with Practical Examples in MOA (Adaptive Computation and Machine Learning series)
Автор: Albert Bifet, Ricard Gavalda, Geoff Holmes
Издательство: The MIT Press
Год: 2017
Формат: True PDF
Страниц: 287
Размер: 14.9 Mb
Язык: English

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.
Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations.

Название: New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling
Автор: Gulshan Shrivastava (Editor), Sheng-Lung Peng (Editor), Himani Bansal (Editor)
Издательство: CRC Press
Год: 2020
Формат: True PDF
Страниц: 366
Размер: 18.6 Mb
Язык: English


This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more.

Название: Android 5.0 (Lollipop): Краткое руководство
Автор: коллектив авторов
Издательство: Google Inc.
Год: 2014
Cтраниц: 70
Формат: pdf
Размер: 10 мб
Язык: русский

В этом руководстве рассказывается о системе Android 5.0 (Lollipop) для устройств Nexus и Google Play Edition. Работа вашего устройства или операционной системы может несколько отличаться от приведенного здесь описания. Содержание руководства может быть изменено без предварительного уведомления. Для успешной работы на устройстве убедитесь, что на нем установлено последнее обновление системы Android.

Название: The Windows 10 Accessibility Handbook
Автор: Mike Halsey
Издательство: Apress
Год: 2015
Формат: PDF, EPUB
Размер: 10 Мб
Язык: английский / English

Learn everything you need to know about making Windows 10 easier to use, see, hear, touch, or read, whether you are using it yourself, setting it up for another person, teaching others about ease of use at work or in the home, or working with a variety of people with specific needs in the community.

Название: Matrix-Based Introduction to Multivariate Data Analysis
Автор: Kohei Adachi
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 457
Размер: 22.1 Mb
Язык: English

This is the first textbook that allows readers who may be unfamiliar with matrices to understand a variety of multivariate analysis procedures in matrix forms. By explaining which models underlie particular procedures and what objective function is optimized to fit the model to the data, it enables readers to rapidly comprehend multivariate data analysis. Arranged so that readers can intuitively grasp the purposes for which multivariate analysis procedures are used, the book also offers clear explanations of those purposes, with numerical examples preceding the mathematical descriptions.

Название: Principles of Data Mining (Undergraduate Topics in Computer Science) Fourth edition
Автор: Max Bramer
Издательство: Springer
Год: 2020
Формат: true pdf/epub
Страниц: 576
Размер: 16.8 Mb
Язык: English

This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.
Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.
It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.

Название: The Practical Beginner's Guide to Learn Linux Programming in One Day Step-by-Step (#2020 Updated Version | Effective Computer Programming)
Автор: Steve Tudor
Издательство: Amazon.com Services LLC
Год: 2019
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Do you want to learn how to master Linux, but don't know where to begin and are pressed for time? Are you interested in moving beyond the graphical user interface and becoming a Linux power user? If you answered yes to any of these, you've come to the right place. If you want to discover how to use the all-powerful Linux operating system, uncover the depths of the command line and level up your programming career, then keep reading...

Название: Liengme's Guide to Excel 2016 for Scientists and Engineers: (Windows and Mac)
Автор: Bernard Liengme, Keith Hekman Ph.D. Mechanical Engineering Georgia Institute of Technology
Издательство: Academic Press
Год: 2020
Формат: PDF
Страниц: 414
Размер: 61,9 Mb
Язык: English

Liengme’s Guide to Excel 2016 for Scientists and Engineers is a completely updated guide for students, scientists, and engineers who want to use Microsoft Excel 2016 to its full potential, whether you’re using a PC or a Mac. Electronic spreadsheet analysis has become part of the everyday work of researchers in all areas of engineering and science. Microsoft Excel, as the industry standard spreadsheet, has a range of scientific functions that can be utilized for the modeling, analysis, and presentation of quantitative data.

Название: Introducing MLOps (Early Release)
Автор: Clement Stenac, Leo Dreyfus-Schmidt, Kenji Lefevre, Nicolas Omont, and Mark Treveil
Издательство: O’Reilly Media
Год: 2020-05-19
Формат: epub/pdf(conv.)
Размер: 10 Mb
Язык: English

More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Instead, many of these ML models do nothing more than provide static insights in a slideshow. If they aren’t truly operational, these models can’t possibly do what you’ve trained them to do.
This report introduces practical concepts to help data scientists and application engineers operationalize ML models to drive real business change. Through lessons based on numerous projects around the world, six experts in data analytics provide an applied four-step approach—Build, Manage, Deploy and Integrate, and Monitor—for creating ML-infused applications within your organization.