Introduction Why model validation matters When building machine learning models, it’s easy to get caught up in achieving high accuracy on the training dataset. But a model that performs perfectly on data it…

Introduction Scene of the action Machine learning has become a central part of modern technologies, supporting everything from recommendation systems and fraud detection to self-driving cars and voice assistants. With the growth of…

Introduction: The necessity of consumer groups The problem with individual consumers Imagine you have a single application that needs to read and process a massive, continuous stream of data from a Kafka topic.…

Introduction Why compare machine learning and large language models? Machine learning has been at the heart of artificial intelligence for decades, enabling applications ranging from spam detection to recommendation engines. In recent years,…

Introduction: The role of translators in programming The problem: computers do not speak human language Computers work on a very simple level and only understand binary code — a series of ones and…

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…