Mathematical Research for Blockchain Economy: 3rd International Conference MARBLE 2022, Vilamoura, Portugal

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Building Analytics Teams: Harnessing analytics and artificial intelligence for business improvement

Maple in Mathematics Education and Research: Third Maple Conference, MC 2019, Waterloo, Ontario, Canada, October 15–17, 2019, Proceedings

Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh

Learning and Intelligent Optimization: 7th International Conference, LION 7, Catania, Italy, January 7-11, 2013, Revised Selected Papers

What Is Data Science?

Optimization and Security Challenges in Smart Power Grids

Data Structures and Program Design Using C++

Mathematical Optimization Theory and Operations Research: 21st International Conference, MOTOR 2022, Petrozavodsk, Russia, July 2–6, 2022, Proceedings

Driving Data Quality with Data Contracts: A comprehensive guide to building reliable, trusted, and effective data platforms

Algorithm Portfolios: Advances, Applications, and Challenges

Building Data Science Teams

Optimization Problems and Their Applications: 7th International Conference, OPTA 2018, Omsk, Russia, July 8-14, 2018, Revised Selected Papers

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Modeling for Sustainable Management in Agriculture, Food and the Environment

DATA SCIENCE WITH MYSQL, SQLITE, POSTGRESQL, AND SQL SERVER USING PYTHON GUI

Machine Learning, Optimization, and Big Data: Third International Conference, MOD 2017, Volterra, Italy, September 14–17, 2017, Revised Selected Papers

Dataclysm: Love, Sex, Race, and Identity--What Our Online Lives Tell Us about Our Offline Selves