R Books

Master the Shiny web framework - and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of their choosing, customize visu

In this book, you'll discover how to perform each of these backup and restore operations using SQL Server Management Studio (SSMS), basic T-SQL scripts and Redgate's SQL Backup tool. Capturing backups using SSMS or simple scripts is perfectly fine for one-off backup operations, but any backups that form part of the recovery strategy for any given d

With the big data boom, the rise of the Internet of Things (IoT), and the development of artificial intelligence (AI) applications, we've entered a new era of smart data. Unfortunately, not many enterprises are ready for it. Some companies are deficient in data management, while others lack standard data engineering systems. Some simply lag behind

There are numerous books and resources about Pascal available, but a significant number of them focus on the older versions of the language, lacking coverage of classes, units, or generics. For this reason, the author has written a quick introduction to what they refer to as modern Object Pascal. It is worth noting that most programmers who use it

This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field

The Windows Azure public cloud platform is one of the three pillars of Microsoft's Cloud OS vision that will transform the traditional datacenter environment, help businesses unlock insights in data stored anywhere, enable the development of a wide range of modern business applications, and empower IT to support users who work anywhere on any devic

Financial Machine Learning surveys the nascent literature on machine learning in the study of financial markets. The authors highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tool

This book discusses what is currently known about software engineering based on an analysis of all publicly available software engineering data. This aim is not as ambitious as it sounds because there is not a lot of data publicly available. The analysis is like a join-the-dots puzzle, except that the 600+ dots are not numbered, some of them are ac

The data you encounter in the real world is usually easier to think of as objects or documents than as the tables and rows required by a standard RDBMS. RavenDB, a modern document-oriented database written in .NET, requires no schema to be declared and enables developers to work with data more naturally. RavenDB applications are high-performance, l

The JavaScript Handbook follows the 80/20 rule: learn in 20% of the time the 80% of a topic. The author find this approach gives a well-rounded overview. This book does not try to cover everything under the sun related to JavaScript. It focuses on the core of the language, trying to simplify the more complex topics. The author hopes the contents of