Information architecture

Learn how to handle errors, inefficiencies, and outdated paradigms by exploring the most common mistakes you'll find in production C++ code.

In this book we describe the basic elements of present computational technologies that use the algorithmic languages C/C++.

Foundational Studies

Vector-Valued Optimization Problems in Control Theory

Theory of Partial Differential Equations

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.

Integer and Mixed Programming: Theory and Applications

Transversal Theory

From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes.

Invariant Variational Principles

Process large volumes of data in real-time while building high performance and robust data stream processing pipeline using the latest Apache Kafka 2.

Nonlinear Two Point Boundary Value Problems

This book introduces the basic concepts of parallel and vector computing in the context of an introduction to numerical methods.

Truth, Syntax and Modality

Learn how to make the right decisions for your business with the help of Python recipes and the expertise of data leadersKey FeaturesLearn and practice various clustering techniques to gather market insights Explore real-life use cases from the business world to contextualize your learningWork your way through practical recipes that will reinforce what you have learnedBook DescriptionOne of the most valuable contributions of data science is toward helping businesses make the right decisions.

This was the sixth in the sequence of the international conferences promoted and organized by the European Association for Signal Processing.

Ocean Circulation Physics

WORD PROBLEMS II

Get up to speed with the new features added to Microsoft SQL Server 2019 Analysis Services and create models to support your businessKey FeaturesExplore tips and tricks to design, develop, and optimize end-to-end data analytics solutions using Microsoft's technologiesLearn tabular modeling and multi-dimensional cube design development using real-world examplesImplement Analysis Services to help you make productive business decisionsBook DescriptionSQL Server Analysis Services (SSAS) continues to be a leading enterprise-scale toolset, enabling customers to deliver data and analytics across large datasets with great performance.

This volume in the Annals of Discrete Mathematics brings together contributions by renowned researchers in combinatorics, graphs and complexity.

The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC).

Sparse Matrices

Combinatory Logic

Learn to work with XRP and build applications on Ripple's blockchainKey FeaturesLearn to use Ripple's decentralized system for transfering digital assets globallyA simpilfied and shortened learning curve to understand the Ripple innovation and BlockchainTakes a hands-on approach to work with XRP - Ripple's native currencyBook DescriptionThis book starts by giving you an understanding of the basics of blockchain and the Ripple protocol.

Function Theoretic Methods in Partial Differential Equations

The Art and Theory of Dynamic Programming

Recursive Model Theory

Get hands-on with deploying and managing your database services to provide scalable and high-speed data access on CockroachDBKey FeaturesGain insights into CockroachDB and build highly reliable cloud-native applicationsExplore the power of a scalable and highly available cloud-native SQL database to distribute data and workloads automaticallyBuild high-speed database services using CockroachDB and troubleshoot performance issuesBook DescriptionGetting Started with CockroachDB will introduce you to the inner workings of CockroachDB and help you to understand how it provides faster access to distributed data through a SQL interface.

This is the first of two books concerned with engineering design principles for Human-Computer Interaction-Engineering Design Principles (HCI-EDPs).

This volume constitutes the first part of a monograph on theory and applications of differential and integral inequalities.

Provability, Computability and Reflection

Perform supervised and unsupervised machine learning and learn advanced techniques such as training neural networks.

The Esri Guide to GIS Analysis, Volume 3: Modeling Suitability, Movement, and Interaction describes practical applications of modeling concepts in a geographic information system (GIS).

The@ first graduate-level textbook to focus on fundamental aspects of numerical methods for stochastic computations, this book describes the class of numerical methods based on generalized polynomial chaos (gPC).

What people are saying about Search Patterns"e;Search Patterns is a delight to read -- very thoughtful and thought provoking.

Mine Ether, deploy smart contracts, tokens, and ICOs, and manage security vulnerabilities of EthereumKey FeaturesBuild end-to-end decentralized Ethereum apps using Truffle, Web3, and SolidityExplore various solution-based recipes to build smart contracts and foolproof decentralized applicationsDevelop decentralized marketplaces from scratch, build wallets, and manage transactionsBook DescriptionEthereum and Blockchain will change the way software is built for business transactions.

Linear Systems of Ordinary Differential Equations, with Periodic and Quasi-Periodic Coefficients

The Method of Weighted Residuals and Variational Principles, with Application in Fluid Mechanics, Heat and Mass Transfer

Think about your data intelligently and ask the right questionsKey FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquired skills through detailed exercises at the end of each chapterBook DescriptionData cleaning is the all-important first step to successful data science, data analysis, and machine learning.

This volume is the result of the author's many-years of research in this field.

Foundational Studies Selected Works

Speed up the design and implementation of deep learning solutions using Apache SparkKey FeaturesExplore the world of distributed deep learning with Apache SparkTrain neural networks with deep learning libraries such as BigDL and TensorFlowDevelop Spark deep learning applications to intelligently handle large and complex datasetsBook DescriptionDeep learning is a subset of machine learning where datasets with several layers of complexity can be processed.

Dynamic Programming and Partial Differential Equations

Introduction to deep learning and PyTorch by building a convolutional neural network and recurrent neural network for real-world use cases such as image classification, transfer learning, and natural language processing.