Machine Learning Paradigms: Theory and Application

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis

Practical Lakehouse Architecture: Designing and Implementing Modern Data Platforms at Scale

Swarm Intelligence: Principles, Advances, and Applications

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

Advances in Soft Computing and Machine Learning in Image Processing

Business Statistics and Data Processing

Cybersecurity and Secure Information Systems: Challenges and Solutions in Smart Environments

Storytelling with Data: Let's Practice!

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

Bayesian Analysis with Python: A practical guide to probabilistic modeling, Edition 3

Securing Next-Generation Connected Healthcare Systems: Artificial Intelligence Technologies

Managing Data as a Product: Design and build data-product-centered socio-technical architectures

Apache Spark Graph Processing