Information architecture

Probability Methods for Approximations in Stochastic Control and for Elliptic Equations

Operator Inequalities

This unique textbook intersects traditional library science with data science principles that readers will find useful in implementing or improving data services within their libraries.

Optimal Economic Operation of Electric Power Systems

The Axiom of Choice

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.

Gain useful insights from your data using popular data science toolsKey FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable learning algorithms for your data science tasksBook DescriptionFully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries.

A complete guide to understanding, developing, and testing popular security-token smart contractsKey FeaturesUnderstand key Blockchain and Ethereum platforms conceptsStep-by-step guide to developing STO smart contracts on EthereumMonetize digital tokens under various U.

Many librarians' job responsibilities increasingly require them to understand and handle data.

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing frameworkKey FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.

A comprehensive one-year graduate (or advanced undergraduate) course in mathematical logic and foundations of mathematics.

Many organizations today analyze and share large, sensitive datasets about individuals.

This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and ClusteringKey FeaturesYour handy guide to building machine learning workflows in Go for real-world scenariosBuild predictive models using the popular supervised and unsupervised machine learning techniquesLearn all about deployment strategies and take your ML application from prototype to production readyBook DescriptionMachine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology.

Understand how blockchain works and explore a variety of strategies to implement it in your organization effectivelyKey FeaturesBecome familiar with business challenges faced by companies when using blockchainDiscover how companies implement blockchain to monetize and secure their dataStudy real-world examples to understand blockchain and its use in organizationsBook DescriptionIn addition to cryptocurrencies, blockchain-based apps are being developed in different industries such as banking, supply chain, and healthcare to achieve digital transformation and enhance user experience.

This book is an introduction to the theory of knots via the theory of braids, which attempts to be complete in a number of ways.

Differential Equations: Classical to Controlled

An expert guide to implementing fast, secure, and scalable decentralized applications that work with thousands of users in real timeKey FeaturesImplement advanced features of the Ethereum network to build powerful decentralized applicationsBuild smart contracts on different domains using the programming techniques of Solidity and VyperExplore the architecture of Ethereum network to understand advanced use cases of blockchain development Book DescriptionEthereum is one of the commonly used platforms for building blockchain applications.

Large Infinitary Languages

This authoritative and practical introduction to solution architecture is suitable for new entrants to the field but also of benefit to experienced professionals wishing to consolidate their knowledge and skills.

Many organizations today analyze and share large, sensitive datasets about individuals.

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.

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

This book adopts a holistic interpretation of information architecture, to offer libraries and information professionals a variety of methods, tools, and techniques that may be used when designing websites and information systems that support workflows and what people require when "e;managing information"e;.

Stochastic Models: Estimation and Control: v.

First Order Elliptic Systems: A Function Theoretic Approach

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.

Stability of Nonlinear Control Systems

Information architecture (IA) is far more challengingand necessarythan ever.

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.

Get up and running with machine learning life cycle management and implement MLOps in your organizationKey FeaturesBecome well-versed with MLOps techniques to monitor the quality of machine learning models in productionExplore a monitoring framework for ML models in production and learn about end-to-end traceability for deployed modelsPerform CI/CD to automate new implementations in ML pipelinesBook DescriptionEngineering MLps presents comprehensive insights into MLOps coupled with real-world examples in Azure to help you to write programs, train robust and scalable ML models, and build ML pipelines to train and deploy models securely in production.

Integrate open source data analytics and build business intelligence on SQL databases with Apache Superset.

Understand the Blockchain revolution and get to grips with Ethereum, Hyperledger Fabric, and Corda.

This book shows you how to harness the power of linked data and web-scale discovery systems to manage and link widely varied content across your library collection.

Leverage the power of MongoDB 4.

Chemistry of the Natural Atmosphere

Introduction to Sensitivity and Stability Analysis in Nonlinear Programming

Mathematical Logic in Latin America, Proceedings of the IV Latin American Symposium on Mathematical Logic

Collected in this volume are most of the important theorems and algorithms currently known for planar graphs, together with constructive proofs for the theorems.

Algorithms, Graphs, and Computers

Big data processing and analytics at speed and scale using command line tools.

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.

Have you ever wondered why some products or services just felt right to you?

Your one-stop guide to blockchain technology and its business applicationsKey FeaturesAssimilate blockchain services such as Ethereum and Hyperledger to transform industrial applications Know in and out of blockchain technology to understand various business use casesUnderstand various common and not-so-common challenges faced in blockchain development Book DescriptionBlockchain for Business 2019 is a comprehensive guide that enables you to bring in various blockchain functionalities to extend your existing business models and make correct fully-informed decisions.

Random Differential Inequalities

This quick start guide will bring the readers to a basic level of understanding when it comes to the Machine Learning (ML) development lifecycle, will introduce Go ML libraries and then will exemplify common ML methods such as Classification, Regression, and ClusteringKey FeaturesYour handy guide to building machine learning workflows in Go for real-world scenariosBuild predictive models using the popular supervised and unsupervised machine learning techniquesLearn all about deployment strategies and take your ML application from prototype to production readyBook DescriptionMachine learning is an essential part of today's data-driven world and is extensively used across industries, including financial forecasting, robotics, and web technology.

Applied Analysis of Composite Media: Analytical and Computational Approaches presents formulas and techniques that can used to study 2D and 3D problems in composites and random porous media.