Data capture and analysis

This concise yet comprehensive guide shows developers and architects how to tackle data integration challenges with MuleSoft.

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.

First place winner in Educational Products at the 2021 International Cartographic Conference Maps are ubiquitous, yet maps are not made equally, nor are they read equally.

Lining Up Data in ArcGIS: A Guide to Map Projections is an easy-to-navigate, troubleshooting reference for any GIS user with the common problem of data misalignment.

The definitive, easy-to-follow guide to writing Python code with spatial data in ArcGIS Pro, whether you're new to programming or not.

Learn the latest version of ArcGIS Pro with the newest edition of this bestselling series.

Ready for something more complex?

Want to get up and running with ArcGIS(R) Desktop?

Now, more than ever, professionals can benefit from the power of location data, maps, and analytics in healthcare.

Updated for use with ArcGIS(R) Desktop 10.

Imagery and GIS, working together, expand our perspective so that we can better perceive and understand The Science of Where(TM).

Map Use: Reading, Analysis, Interpretation, eighth edition is a comprehensive, foundational textbook designed for the college curriculum.

Focus on Geodatabases in ArcGIS Pro introduces readers to the geodatabase, the comprehensive information model for representing and managing geographic information across the ArcGIS platform.

Os Empreendedores Elon Musk, Stephen Hawking e Bill Gates, proclamaram a Inteligência Artificial como uma possível ameaça no futuro, caso o Homem não faça uso desta tecnologia com sabedoria.

Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft's Power BI is a very viable, cost effective option for data visualization.

Power BI Data Analysis and Visualization provides a roadmap to vendor choices and highlights why Microsoft's Power BI is a very viable, cost effective option for data visualization.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis.

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis.

Recently, there has been a rapid increase in interest regarding social network analysis in the data mining community.

When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving.

Take a new approach to digital marketing based on transparency, relevance, and delivering real value to your audience.

With an emphasis on social science applications, Event History Analysis with R presents an introduction to survival and event history analysis using real-life examples.

Research on the problem of clustering tends to be fragmented across the pattern recognition, database, data mining, and machine learning communities.

Take advantage of today's sky-high demand for data engineers.

Take advantage of today's sky-high demand for data engineers.

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

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

If you know how to program, you're ready to tackle Bayesian statistics.