Innovations in Biomedical Engineering: Trends in Scientific Advances and Applications

Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

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

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

Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

Business Statistics and Data Processing

Intelligent Systems and Applications in Computer Vision

Storytelling with Data: Let's Practice!

Deep Learning in Engineering, Energy and Finance: Principals and Applications

Critical Data Literacies: Rethinking Data and Everyday Life

NanoMind: Exploring Synergies in Nanotechnology and Machine Learning

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

Deep Learning with PyTorch

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

Excel 2013 for Scientists: Master advanced Excel techniques and data analysis tailored for scientific research and workflows