Expert systems / knowledge-based systems

In this handy, practical book you will cover each concept concisely, with many illustrative examples.

Human attention is in the highest demand it has ever been.

Are algorithms friend or foe?

Much of our daily lives intertwine with artificial intelligence.

We are entering the next wave of digital transformation.

Data science is expanding across industries at a rapid pace, and the companies first to adopt best practices will gain a significant advantage.

In the era of self-taught developers and programmers, essential topics in the industry are frequently learned without a formal academic foundation.

Discover hidden relationships among the variables in your data, and learn how to exploit these relationships.

Quickly find solutions to common programming problems encountered while processing big data.

Learn how to build a data science technology stack and perform good data science with repeatable methods.

Build clustered and scalable Java-based, real-time applications using Spring Framework, Boot, WebSocket, Cassandra, Redis and RabbitMQ.

Get started using Python in data analysis with this compact practical guide.

Develop applications for the big data landscape with Spark and Hadoop.

In 25 concise steps, you will learn the basics of blockchain technology.

Learn how to onboard ServiceNow ITSM tools by evangelizing, educating, and coordinating your organization's service desk, developers, and stakeholders.

Develop apps and games using the Leap Motion sensor.

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization.

Learn to use Apache Pig to develop lightweight big data applications easily and quickly.

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers.

Learn how to form and execute an enterprise information strategy: topics include data governance strategy, data architecture strategy, information security strategy, big data strategy, and cloud strategy.

Predictive Analytics with Microsoft Azure Machine Learning, Second Edition is a practical tutorial introduction to the field of data science and machine learning, with a focus on building and deploying predictive models.

Apply analytics to business problems using two very popular software tools, SAS and R.

Prepare for the next wave of challenges in enterprise security.

Learn SQL Server Reporting Services and become current with the 2016 edition.

Get started on mastering the one language binding the entire database industry.

Discover which ARTIK modules to use for various applications, and how to produce code for them.

Succeed in managing Oracle Application Express (APEX) environments.

Learn advanced analytical techniques and leverage existing tool kits to make your analytic applications more powerful, precise, and efficient.

This book shows how to deliver eye-catching Business Intelligence with Microsoft Power BI Desktop.

Learn the right cutting-edge skills and knowledge to leverage Spark Streaming to implement a wide array of real-time, streaming applications.

Learn all you need to know about seven key innovations disrupting business analytics today.

Maximize the impact of your assets and business services by providing APIs for developers and other users.

Collect and analyze sensor and usage data from Internet of Things applications with Microsoft Azure IoT Suite.

Learn to harness the power of Visual Basic for Applications (VBA) in Microsoft Excel to develop interesting, useful, and interactive Excel applications.

Derive useful insights from your data using Python.

Business Intelligence with SQL Server Reporting Services helps you deliver business intelligence with panache.

Beginning Apache Cassandra Development introduces you to one of the most robust and best-performing NoSQL database platforms on the planet.

Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios.

This volume brings together the results of research into the methodology and applications of pattern recognition, with particular emphasis given to the incorporation of artificial intelligence methodologies into pattern recognition systems.

The era of detailed comparisons of the merits of techniques of pattern recognition and artificial intelligence and of the integration of such techniques into flexible and powerful systems has begun.

This second volume is arranged in four sections: Analysis contains papers which compare the attributes of various approaches to uncertainty.

How to deal with uncertainty is a subject of much controversy in Artificial Intelligence.

This book presents four contributions to planning research within an integrated framework.

This is a book about systems, including: systems in which humans control machines; systems in which humans interact with humans and the machine component is relatively unimportant; systems which are heavily computerized and those that are not; and governmental, industrial, military and social systems.

With the increasing availability of parallel machines and the raising of interest in large scale and real world applications, research on parallel processing for Artificial Intelligence (AI) is gaining greater importance in the computer science environment.

This book is part of a new series on operational expert systems worldwide.

The rapidly progressing digital revolution is now touching the foundations of the governance of societal structures.

Safety-Critical Real-Time Systems brings together in one place important contributions and up-to-date research results in this fast moving area.

Embedded core processors are becoming a vital part of today's system-on-a-chip in the growing areas of telecommunications, multimedia and consumer electronics.

Real World Speech Processing brings together in one place important contributions and up-to-date research results in this fast-moving area.