Information architecture

Discrete Numerical Methods in Physics and Engineering

From school lunchrooms to the White House press room, video games are an integral part of our popular culture, and the industry behind them touches all aspects of our lives, gamer and non-gamer alike.

Provability, Computability and Reflection

A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world.

Logic, Methodology and Philosophy of Science, Proceeding of the 1960 International Congress

A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial IntelligenceKey FeaturesLearn to build and run a big data application with sample codeExplore examples to implement activities that a big data architect performsUse Machine Learning and AI for structured and unstructured dataBook DescriptionThe big data architects are the "e;masters"e; of data, and hold high value in today's market.

Leverage the power of Tableau 2019.

Weather Modification by Cloud Seeding

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

Linear and Quasilinear Elliptic Equations

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

Overall, our object has been to provide an applications-oriented text that is reasonably self-contained.

Nonlinear Ordinary Differential Equations in Transport Processes

Automation Theory and Modeling of Biological Systems

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

Physics of the marine atmosphere

Provability, Computability and Reflection

Create and share livecode, equations, visualizations, and explanatory text, in both a single document and a web browser with JupyterKey FeaturesLearn how to use Jupyter 5.

Provability, Computability and Reflection

Sets, Models and Recursion Theory

Learn advanced techniques to improve the performance and quality of your predictive modelsKey FeaturesUse ensemble methods to improve the performance of predictive analytics modelsImplement feature selection, dimensionality reduction, and cross-validation techniquesDevelop neural network models and master the basics of deep learningBook DescriptionPython is a programming language that provides a wide range of features that can be used in the field of data science.

Bilinear Control Processes: with Applications to Engineering, Ecology, and Medicine

Manipulate and analyze network data with the power of Python and NetworkXKey FeaturesUnderstand the terminology and basic concepts of network scienceLeverage the power of Python and NetworkX to represent data as a networkApply common techniques for working with network data of varying sizesBook DescriptionNetworkX is a leading free and open source package used for network science with the Python programming language.

An Introduction to Atmospheric Radiation

Approximation of Nonlinear Evolution Systems

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

Build attractive, insightful, and powerful visualizations to gain quality insights from your dataKey FeaturesMaster Matplotlib for data visualizationCustomize basic plots to make and deploy figures in cloud environmentsExplore recipes to design various data visualizations from simple bar charts to advanced 3D plotsBook DescriptionMatplotlib provides a large library of customizable plots, along with a comprehensive set of backends.

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

The Metamathematics of Algebraic Systems

Explore the different data mining techniques using the libraries and packages offered by PythonKey FeaturesGrasp the basics of data loading, cleaning, analysis, and visualizationUse the popular Python libraries such as NumPy, pandas, matplotlib, and scikit-learn for data miningYour one-stop guide to build efficient data mining pipelines without going into too much theoryBook DescriptionData mining is a necessary and predictable response to the dawn of the information age.

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

Diakoptics and Networks

Stochastic Systems

Decision and Control in Uncertain Resource Systems

Introduction to Algebraic System Theory

Topics in Optimization

The Problem of Inductive Logic

Enhance your data analysis and predictive modeling skills using popular Python toolsKey FeaturesCover all fundamental libraries for operation and manipulation of Python for data analysisImplement real-world datasets to perform predictive analytics with PythonAccess modern data analysis techniques and detailed code with scikit-learn and SciPyBook DescriptionPython is one of the most common and popular languages preferred by leading data analysts and statisticians for working with massive datasets and complex data visualizations.

Businesses own more data than ever before, but it's of no value if you don't know how to use it.

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

Take your Python text processing skills to another level by learning about the latest natural language processing and machine learning techniques with this full color guideKey FeaturesLearn how to acquire and process textual data and visualize the key findingsObtain deeper insight into the most commonly used algorithms and techniques and understand their tradeoffsImplement models for solving real-world problems and evaluate their performanceBook DescriptionWith the ever-increasing demand for machine learning and programming professionals, it's prime time to invest in the field.

Discover how to describe your data in detail, identify data issues, and find out how to solve them using commonly used techniques and tips and tricksKey FeaturesGet well-versed with various data cleaning techniques to reveal key insightsManipulate data of different complexities to shape them into the right form as per your business needsClean, monitor, and validate large data volumes to diagnose problems before moving on to data analysisBook DescriptionGetting clean data to reveal insights is essential, as directly jumping into data analysis without proper data cleaning may lead to incorrect results.

Learn quick and effective techniques to get up and running with building blockchain including Ethereum and Hyperledger Fabric.

Manipulate and analyze network data with the power of Python and NetworkXKey FeaturesUnderstand the terminology and basic concepts of network scienceLeverage the power of Python and NetworkX to represent data as a networkApply common techniques for working with network data of varying sizesBook DescriptionNetworkX is a leading free and open source package used for network science with the Python programming language.

Build efficient, high-performance & scalable systems to process large volumes of data with Apache IgniteKey FeaturesUnderstand Apache Ignite's in-memory technologyCreate High-Performance app components with IgniteBuild a real-time data streaming and complex event processing systemBook DescriptionApache Ignite is a distributed in-memory platform designed to scale and process large volume of data.