Learn IT - Books tags intelligence

Python Machine Learning Case Studies: Five Case Studies for the Data Scientist

Apress, 2017

Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on...

Computational Optimization, Methods and Algorithms (Studies in Computational Intelligence)

Springer, 2011

Computational optimization is an important paradigm with a wide range of applications. In virtually all branches of engineering and industry, we almost always try to optimize something - whether to minimize the cost and energy consumption, or to maximize profits, outputs, performance and efficiency. In many cases, this search for...

Reasoning with Probabilistic and Deterministic Graphical Models: Exact Algorithms (Synthesis Lectures on Artificial Intelligence and Machine Learning)

Morgan and Claypool Publishers, 2013

Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and...

Practical Data Wrangling: Expert techniques for transforming your raw data into a valuable source for analytics

Packt Publishing, 2017

Key Features

This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way

Work with different types of datasets, and reshape the layout of your data to make it easier for analysis

Get simple examples and real-life data...

Data Mining and Statistics for Decision Making

John Wiley & Sons, 2011

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify...

Databases and Information Systems VI: Selected Papers from the Ninth International Baltic Conference, DB&IS 2010 - Volume 224 Frontiers in Artificial Intelligence and Applications

IOS Press, 2011

This volume presents papers from the Ninth International Baltic Conference on Databases and Information Systems (Baltic DB&IS 2010) which took place in Riga, Latvia, in July 2010. Since this successful biennial series began in 1994, the Baltic DB&IS conferences have become an international forum of high scientific criteria for...

Parallel Genetic Algorithms: Theory and Real World Applications (Studies in Computational Intelligence)

Springer, 2011

This book is the result of several years of research trying to better characterize parallel genetic algorithms (pGAs) as a powerful tool for optimization, search, and learning. Readers can learn how to solve complex tasks by reducing their high computational times. Dealing with two scientific fields (parallelism and GAs) is always...

Analytics for the Internet of Things (IoT): Intelligent analytics for your intelligent devices

Packt Publishing, 2017

Break through the hype and learn how to extract actionable intelligence from the flood of IoT data

Key Features

Make better business decisions and acquire greater control of your IoT infrastructure

Learn techniques to solve unique problems associated with IoT and examine and analyze data...

Beginning SQL Server R Services: Analytics for Data Scientists

Andrei Besedin, 2016

Learn how to develop powerful data analytics applications quickly for SQL Server database administrators and developers. Organizations will be able to sift data and derive the business intelligence needed to drive business decisions and profit. The addition of R to SQL Server 2016 places a powerful analytical processor into an...

Bayesian Artificial Intelligence, Second Edition

CRC Press, 2010

Updated and expanded, Bayesian Artificial Intelligence, Second Edition provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. It focuses on both the causal discovery of networks and Bayesian inference procedures. Adopting a causal interpretation of Bayesian...

Learning SAP Analytics Cloud

Packt Publishing, 2017

Key Features

Predict new opportunities and risks in a few mouse clicks
Eliminate complexity with tools that let you plan, analyze, and collaborate in context—in real time
Discover, visualize, plan, and predict in a single product with agile BI tools

Book...

Domain Driven Data Mining

Springer, 2010

In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and...

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