Information architecture

Understand how machine learning works and get hands-on experience of using R to build algorithms that can solve various real-world problemsKey FeaturesGain a comprehensive overview of different machine learning techniquesExplore various methods for selecting a particular algorithmImplement a machine learning project from problem definition through to the final modelBook DescriptionWith huge amounts of data being generated every moment, businesses need applications that apply complex mathematical calculations to data repeatedly and at speed.

Mathematical Models for the Study of the Reliability of Systems

Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data.

Dynamic Noncooperative Game Theory

Become the master player of data exploration by creating reproducible data processing pipelines, visualizations, and prediction models for your applications.

Why is Google Analytics 4 the most modern data model available for digital marketing analytics?

Mathematical Theories of Traffic Flow

Learn how to apply TensorFlow to a wide range of deep learning and Machine Learning problems with this practical guide on training CNNs for image classification, image recognition, object detection and many computer vision challenges.

Generalized Recursion Theory

Provability, Computability and Reflection

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

Energy at the surface of the earth : an introduction to the energetics of ecosystems

How can you make sense of the complex IoT landscape?

A comprehensive guide to mastering the most advanced Hadoop 3 conceptsKey FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook DescriptionApache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data.

This book deals with measures of information (the most important ones being called entropies), their properties, and, reciprocally, with questions concerning which of these properties determine known measures of information, and which are the most general formulas satisfying reasonable requirements on practical measures of information.

Reinforce your understanding of data science and data analysis from a statistical perspective to extract meaningful insights from your data using Python programmingKey FeaturesWork your way through the entire data analysis pipeline with statistics concerns in mind to make reasonable decisionsUnderstand how various data science algorithms functionBuild a solid foundation in statistics for data science and machine learning using Python-based examplesBook DescriptionStatistics remain the backbone of modern analysis tasks, helping you to interpret the results produced by data science pipelines.

Nonlinear Autonomous Oscillations presents a self-contained and readable account for mathematicians, physicists, and engineers.

Nowadays, finance, mathematics, and programming are intrinsically linked.

Axiomatic Set Theory

Stay updated with expert techniques for solving data analytics and machine learning challenges and gain insights from complex projects and power up your applicationsKey FeaturesBuild independent machine learning (ML) systems leveraging the best features of R 3.

Multiobjective Programming and Planning

Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage.

This book develops a unified approach to qualitative analysis of large scale systems described by many diversified types of equations.

Das Metaverse ist nicht nur ein Hype, sondern eine reale Chance, die Arbeitswelt von morgen zu gestalten.

Develop informative and aesthetic visualizations that enable effective data analysis in less timeKey FeaturesDiscover structure of ggplot2, grammar of graphics, and geometric objectsStudy how to design and implement visualization from scratchExplore the advantages of using advanced plotsBook DescriptionApplied Data Visualization with R and ggplot2 introduces you to the world of data visualization by taking you through the basic features of ggplot2.

Ocean Circulation Physics

This selection of papers is concerned with problems arising in the numerical solution of differential equations, with an emphasis on partial differential equations.

Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences.

Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learningKey FeaturesGet up and running with graph analytics with the help of real-world examplesExplore various use cases such as fraud detection, graph-based search, and recommendation systemsGet to grips with the Graph Data Science library with the help of examples, and use Neo4j in the cloud for effective application scalingBook DescriptionNeo4j is a graph database that includes plugins to run complex graph algorithms.

In the digital world, the need to protect communications increases every day.

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.

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).

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.

Provability, Computability and Reflection

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

Differential Equations and Mathematical Physics: Proceedings of the International Conference held at the University of Alabama at Birmingham, March 15-21, 1990

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

Dynamic Programming and Partial Differential Equations

Sets and Classes on The Work by Paul Bernays

Nowadays, finance, mathematics, and programming are intrinsically linked.

Machine learning is an intimidating subject until you know the fundamentals.

Provability, Computability and Reflection

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

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips.

Climate and Life

This is a softcover version of the title released in 2011; there is no new material.

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.