Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python

Kevin Jolly

Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition

Rajdeep Dua, Manpreet Singh Ghotra

Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics

Rich Collier, Bahaaldine Azarmi

Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data

Amy Rock, Ryan Malhoski

Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features

Wajahat Karim, Siddharth Shekar

Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition

Romeo Kienzler

Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis

Ankit Jain

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 Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models

Giuseppe Bonaccorso

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

Gavin Hackeling

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

Alex Giamas

Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition

Alex Giamas

Mastering PostGIS. Modern ways to create, analyze, and implement spatial data

Dominik Mikiewicz, Michal Mackiewicz, Tomasz Nycz

Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration

Hans-Jürgen Schönig

Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition

James D. Miller, Rui Miguel Forte

Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python

Alvaro Fuentes

Mastering Python for Data Science. Explore the world of data science through Python and learn how to make sense of data

Samir Madhavan

Mastering Python for Finance. Understand, design, and implement state-of-the-art mathematical and statistical applications used in finance with Python

WEIMING MA, James Ma Weiming

Mastering Scientific Computing with R. Employ professional quantitative methods to answer scientific questions with a powerful open source data analysis environment

Paul Gerrard, Radia Johnson

Mastering Spark for Data Science. Lightning fast and scalable data science solutions

Andrew Morgan, Antoine Amend, Matthew Hallett, David George

Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition

Marleen Meier, David Baldwin

Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python

Allen Yu, Claire Chung, Aldrin Yim

Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python

Srinivasa Rao Poladi