Trends in Intelligent Systems and Computer Engineering

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

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

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

Modern Artificial Intelligence Based on Soft Computing Techniques

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

Recent Advances in Fuzzy Sets Theory, Fractional Calculus, Dynamic Systems and Optimization

Business Statistics and Data Processing

New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

Storytelling with Data: Let's Practice!

Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine

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

Soft Computing Applications in Optimization, Control, and Recognition

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

Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications