Introduction to the ML life cycle What is the ML lifecycle? The machine learning (ML) lifecycle is a structured, iterative process for the development, deployment and maintenance of machine learning models. It is…

Introduction: The importance of keeping an overview What’s in a number? Quite a lot, actually. Have you ever downloaded an app update and found that your favorite feature had suddenly disappeared? Or worked…

What is a web session? A reproducible user experience Have you ever shopped online, added a few items to your shopping cart and then navigated to another site or even closed your browser…

Introduction: What are machine learning frameworks and why are they important? The AI revolution and your daily life Machine learning frameworks are powerful software libraries, tools and environments that provide pre-built functions and…

Introduction to distributed machine learning What is distributed machine learning? Distributed machine learning (DML) refers to the training of machine learning models on multiple compute nodes, such as CPUs, GPUs or entire machines…

Introduction Understanding data formats in the digital world XML vs JSON: In the world of software development and data exchange, the way data is structured and shared plays a crucial role. Whether it…

Introduction YAML vs JSON is a common comparison for developers, DevOps engineers and data architects when it comes to choosing a format for configuration, data exchange or system integration. Both are lightweight, human-readable…