Category: Artificial Intelligence

Study Notes – Introduction to Testing Machine Learning Models

intro to machine learning models

The prevalence of machine learning (ML) and artificial intelligence (AI) in solving complex problems has increased, leading to a demand for testing professionals to support data science and ML teams with their data, pipelines, models, services, and AI ethics. This course focuses on the unique aspects of testing ML models compared to traditional programming. It uses Python, the most popular language for ML and AI, and starts by explaining the differences between ML and traditional programming.

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Demystifying Smart Selectors

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The rise of test automation is being driven by a wide variety of technologies designed to make automation more robust and efficient. The term smart selector occurs repeatedly in this context. In this article, I take a look at the technology behind this term.

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Testing Data Lake

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We all have heard about data lake and its importance, but we rarely talk about a testing results data lake and how it can help us. This article shares some insights on testing data lake, how it can be created and the benefits

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Machine Learning & Quality Assurance

Lately, we've heard about Machine Learning everywhere, in every sector, a fitness tracker applications, an intelligent home assistant like Google Home/Amazon Alexa, what about an application recommending new stuff related to our behavior as a buyer, our streaming applications recommending music or movies based on our data.   Let's talk about basic concepts to understand better... Continue Reading →

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