Information architecture

Quantum computers promise dramatic advantages in processing speed over currently available computer systems.

Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.

Intuitionistic Logic Model Theory and Forcing

Nonlinear Equations in the Applied Sciences

Provides a practical overview of the most common database management tasks for those who need to manage data.

Build, design and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep, Tableau Hyper, and Tableau ServerKey FeaturesMaster new features in Tableau 2019.

Master the skills necessary to hire and manage a team of highly skilled individuals to design, build, and implement applications and systems based on advanced analytics and AIKey FeaturesLearn to create an operationally effective advanced analytics team in a corporate environmentSelect and undertake projects that have a high probability of success and deliver the improved top and bottom-line resultsUnderstand how to create relationships with executives, senior managers, peers, and subject matter experts that lead to team collaboration, increased funding, and long-term success for you and your teamBook DescriptionIn Building Analytics Teams, John K.

Quantum Detection and Estimation Theory

The essential textbook on agent-based modeling-now fully updated and expandedAgent-Based and Individual-Based Modeling has become the standard textbook on the subject for classroom use and self-instruction.

Solve real-world data problems and create data-driven workflows for easy data movement and processing at scale with Azure Data FactoryKey FeaturesLearn how to load and transform data from various sources, both on-premises and on cloudUse Azure Data Factory's visual environment to build and manage hybrid ETL pipelinesDiscover how to prepare, transform, process, and enrich data to generate key insightsBook DescriptionAzure Data Factory (ADF) is a modern data integration tool available on Microsoft Azure.

Learn to develop blockchain-based distributed ledgers and deploy a Hyperledger Fabric network with concrete exercises and examplesKey FeaturesUpdated with the latest features and additions that come with Hyperledger Fabric 2Write your own smart contracts and services using Java and JavaScript on a Hyperledger Fabric networkDive into real-world blockchain challenges such as integration and scalabilityBook DescriptionBlockchain with Hyperledger Fabric - Second Edition is a refreshed and extended version of the successful book on practical Hyperledger Fabric blockchain development.

Learn how to architect, implement, and administer a complex Splunk Enterprise environment and extract valuable insights from business data.

Graphs, Dynamic Programming and Finite Games

Variational Methods in Statistics

Implement blockchain principles in your choice of domain using Ethereum Key FeaturesBuild permissioned enterprise-grade blockchain applications from scratchImplement Blockchain-as-a-Service to enterprises in terms of deployment and securityAchieve privacy in blockchains using proxy re-encryption algorithmsBook DescriptionThe increasing growth in blockchain use is enormous, and it is changing the way business is done.

Introduction to the Mathematical Theory of Control Processes: Nonlinear Processes v.

Supervised and unsupervised machine learning made easy in Scala with this quick-start guide.

The Collected Papers of Gerhard Gentzen

Tackle the complex challenges faced while building end-to-end deep learning models using modern R librariesKey FeaturesUnderstand the intricacies of R deep learning packages to perform a range of deep learning tasksImplement deep learning techniques and algorithms for real-world use casesExplore various state-of-the-art techniques for fine-tuning neural network modelsBook DescriptionDeep learning (DL) has evolved in recent years with developments such as generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning.

Automation Theory and Modeling of Biological Systems

A fast paced guide that will help you learn about Apache Hadoop 3 and its ecosystemKey FeaturesSet up, configure and get started with Hadoop to get useful insights from large data setsWork with the different components of Hadoop such as MapReduce, HDFS and YARN Learn about the new features introduced in Hadoop 3Book DescriptionApache Hadoop is a widely used distributed data platform.

Proceedings of the Fourth International Congress for Logic, Methodology and Philosophy of Science, Bucharest, 1971

Differential Equations with Applications to Mathematical Physics

Design, administer, and deploy high-volume and fault-tolerant database applications using MongoDB 4.

Differential Equations in Abstract Spaces

Berge's Principles of Combinatorics is now an acknowledged classic work of the field.

Individual-based models are an exciting and widely used new tool for ecology.

Discrete and Continuous Boundary Problems

While most textbooks on Numerical Analysis discuss linear techniques for the solution of various numerical problems, this book introduces and illustrates nonlinear methods.

This third volume of the monograph examines potential theory.

Handbook of Probabilistic Models carefully examines the application of advanced probabilistic models in conventional engineering fields.

Quantum computers promise dramatic advantages in processing speed over currently available computer systems.

Get the most out of Elasticsearch 7's new features to build, deploy, and manage efficient applicationsKey FeaturesDiscover the new features introduced in Elasticsearch 7Explore techniques for distributed search, indexing, and clusteringGain hands-on knowledge of implementing Elasticsearch for your enterpriseBook DescriptionElasticsearch is one of the most popular tools for distributed search and analytics.

This book introduces Participatory Design to researchers and students in Human-Computer Interaction (HCI).

Enterprise solutions have emerged as promising tools for integrating and extending business processes across business functions.

Get unique insights from your data by combining the power of SQL Server, R and PythonKey FeaturesUse the features of SQL Server 2017 to implement the data science project life cycleLeverage the power of R and Python to design and develop efficient data modelsfind unique insights from your data with powerful techniques for data preprocessing and analysisBook DescriptionSQL Server only started to fully support data science with its two most recent editions.

Truth, Syntax and Modality

Provability, Computability and Reflection

A comprehensive guide to developing neural network-based solutions using TensorFlow 2.

Introduction to Algebraic System Theory

Logic in Algebraic Form

Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling.

Process Algebra is a formal description technique for complex computer systems, especially those involving communicating, concurrently executing components.

Random Integral Equations

Get more from your data by creating practical machine learning systems with PythonKey FeaturesDevelop your own Python-based machine learning systemDiscover how Python offers multiple algorithms for modern machine learning systemsExplore key Python machine learning libraries to implement in your projectsBook DescriptionMachine learning allows systems to learn things without being explicitly programmed to do so.

Single sourcing is more than mechanical document conversion.

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