Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition

Bharvi Dixit

Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter

Silas Toms, Paul Crickard, Eric van Rees

Mastering Hadoop 3. Big data processing at scale to unlock unique business insights

Chanchal Singh, Manish Kumar

Mastering Hadoop. Go beyond the basics and master the next generation of Hadoop data processing platforms

Sandeep Karanth

Mastering Java for Data Science. Analytics and more for production-ready applications

Alexey Grigorev

Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures

Uday Kamath, Krishna Choppella

Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs

Anurag Srivastava

Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition

Cory Lesmeister

Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition

Cory Lesmeister

Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition

Gavin Hackeling

Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark

Michal Malohlava, Alex Tellez, Max Pumperla

Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python

Benjamin Walter Keller

Mastering matplotlib. A practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data

Duncan M. McGreggor, Duncan M McGreggor

Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence

Brett Powell

Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications

Mastering .NET Machine Learning. Use machine learning in your .NET applications

Jamie Dixon