As the power of Bayesian techniques has become more fully realized, the field of artificial intelligence has embraced Bayesian methodology …
Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide …
Reliability analysis is concerned with the analysis of devices and systems whose individual components are prone to failure. This textbook …
Emphasizing the use of WinBUGS and R to analyze real data, Bayesian Ideas and Data Analysis: An Introduction for Scientists …
Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data …
Let's step back to the year 1978. Sony introduces hip portable music with the Walkman, Illinois Bell Company releases the …
The final edition of the incomparable data warehousing and business intelligence reference, updated and expanded The Kimball Group Reader, Remastered …
This is the first text to examine the use of statistical methods in forensic science and bayesian statistics in combination. …
Data is everywhere - it's just not very well connected, which makes it super hard to relate dataset to dataset. …
Design great databases—from logical data modeling through physical schema definition. You will learn a framework that finally cracks the problem …
Intelligent agents are employed as the central characters in this new introductory text. Beginning with elementary reactive agents, Nilsson gradually …
An indispensable guide that shows companies how to treat data as a strategic asset Organizations set their business strategy and …
Build a working knowledge of data modeling concepts and best practices, along with how to apply these principles with ER/Studio. …
With the growing maturity and stability of digitization and edge technologies, vast numbers of digital entities, connected devices, and microservices …
NY: InfoQ, 2015. — 32 p. Graph databases are getting lot of attention lately. They are used to manage connected …
This book is not really a tutorial for beginners as it goes directly into the subject. It is well written, …
Unsupervised learning is an increasingly important branch of data science, the goal of which is to train models that can …
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed …
IBM Cognos is Business Intelligence software that enables businesses to fully utilize their maximum potential. It connects people with information …
IBM Cognos 10 Framework Manager is a complete practical guide to using and getting the best out of this essential …
A wide-ranging overview of the use of machine learning and AI techniques in financial risk management, including practical advice for …
Take advantage of the real power behind the BI components of SQL Server 2014, Excel 2013, and SharePoint 2013 with …
Understanding SQL's underlying theory is the best way to guarantee that your SQL code is correct and your database schema …
Researchers in many branches of science are increasingly coming into contact with Bayesian statistics or Bayesian probability theory. This book …
Data Modeling Essentials, Third Edition provides expert tutelage for data modelers, business analysts and systems designers at all levels. Beginning …
The field of high-throughput genetic experimentation is evolving rapidly, with the advent of new technologies and new venues for data …
Artificial intelligence (AI) is transforming the business world at an unprecedented pace. From automating mundane tasks to predicting consumer behaviour, …
