Interactive Data Visualization for the Web, 2nd Edition

Что почитать про анализ больших данных? Собрали подборку лучших книг по Big Data на русском языке, которые стоит изучить.

Отобрали лучшие книги по Data Science для начинающих. Актуальная литература на русском языке для дата саентистов. Научитесь превращать массив данных в структурированную информацию для принятия решений.

В недрах популярных социальных сетей — Twitter, Facebook, LinkedIn и Instagram — скрыты богатейшие залежи информации.

Cегодня Big Data — это большой бизнес. Нашей жизнью управляет информация, и извлечение выгоды из нее становится центральным моментом в работе современных организаций.

Data Science — это совокупность понятий и методов, позволяющих придать смысл и понятный вид огромным объемам данных.<br><br>Каждая из глав этой книги посвящена одному из самых интересных аспектов анализа и обработки данных.

Data Science (исследование данных) — одна из самых востребованных специализаций нашего времени.

Думаете, ваши данные в Интернете хорошо защищены? Так глубоко вы никогда не заблуждались!

This book uses a simple step by step approach to explain the essential relational database design modelling techniques, and shows how Oracle SQL can be used to implement a database.

This book describes a lot of specific problems, and typical approaches that will lead to more robust code, However, my main goal is more general: it is to demonstrate how to think defensively, and how to proactively identify and eliminate potential vulnerabilities in T-SQL code during development rather than after the event when the problems have already occurred.

How do you design for a database platform which doesn’t require design? Should you design your data at all, or just start building?

There are a lot of good books on SQL, so you can choose for a long time. This is a great guide considers the techniques of database design for mere developers, and methods of optimization of loads for system administrators.

Writing is truly a cooperative effort, despite what you may have heard about it. I’m so grateful for the editors, colleagues, friends, and family who continue to be ready and willing to lend their help.

This book is a concise introduction to data structures and algorithms in Ruby. Data structures are presented in a container hierarchy that includes stacks and queues as non-traversable dispensers, and lists, sets, and maps as traversable collections.

В книге Классификация, регрессия и другие алгоритмы Data Mining с использованием R рассмотрена широкая совокупность методов построения статистических моделей классификации и регрессии для откликов, измеренных в альтернативной, категориальной и метрической шкалах.

Python is one of the most popular languages today, as it supports several programming paradigms simultaneously: object-oriented, functional, imperative, and aspect-oriented.

This book is about data structures and algorithms as used in computer programming. Data structures are ways in which data is arranged in your computer’s memory (or stored on disk).<br>Algorithms are the procedures a software program uses to manipulate the data in these structures. 2 Data Structures & Algorithms in Java, Second Edition 01 0672324539 intro 10/10/02 9:08 AM Page 2 Almost every computer program, even a simple one, uses data structures and algorithms.

This book is intended for an object-oriented course in data structures and algorithms. The implementationlanguage is Java, and it is assumed that students have taken a first course in programming, not necessarilyin Java.

This hands-on guide shows Java developers how to access data with the new 3.0 Java Database Connectivity (JDBC) API, use LDAP-enabled directory services with Java Network Directory Services (JNDI), and manipulate XML data using Java APIs for XML Processing (JAXP).

This book is intended for college students in computer science and related fields, as well as professional software engineers, people training in software engineering, and people preparing for technical interviews.

"Problem Solving in Data Structures & Algorithms" is a series of books about the usage of Data Structures and Algorithms in computer programming.

The database/sql package is Go’s lightweight standard interface for relational databases, with support for backend drivers, prepared statements and transactions.

Data structures are presented in a container hierarchy that includes stacks and queues as non-traversable dispensers, and lists, sets, and maps as traversable collections.

Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification applications. All algorithms include an intuitive explanation of operation, essential equations, references to more rigorous theory, and commented C++ source code. Many of these techniques are recent developments, still not in widespread use.

The world around us is filled with information. Valuable data is locked in silos such as emails, screenshots and the web. Capturing and extracting that information in order to process it, make sense of it, and use it to help us make better and informed decisions should be fun and stimulating.