Editors Pick

reading the thought-provoking book by Daniel Kahneman (Nobel Prize Winner in Economics and one of the best selling writer of ) and Professors Olivier Sibony and Cass Sunstein. Noise highlights the looming, but often well-hidden, presence of persistent...

than convincing someone of a truth they can not see in their very own data. Data science and sustainability experts face the identical problem: our concepts could also be too abstract and theoretical, making...

concerning the idea of using AI to judge AI, also often called “LLM-as-a-Judge,” my response was: We live in a world where even toilet paper is marketed as “AI-powered.” I assumed this was just...

to Randomisation In our day-to-day life, we come across several different phenomena which might be totally random. The weather is random: sure, we are able to forecast and predict the weather, but to a...

you’ll encounter when doing AI engineering work is that there’s no real blueprint to follow. Yes, for probably the most basic parts of retrieval (the “R” in RAG), you'll be able to chunk documents,...

Within the previous article of this series, operation in all fields of computer science: matrix multiplication. It's heavily utilized in neural networks to compute the activation of linear layers. Nevertheless, activations on their...

It’s time to begin constructing your personal data visualizations. In this text, I'll walk through the strategy of visualizing time-series data in Python intimately. If you might have not read the previous articles in...

to investigate your time series as a knowledge scientist?Have you ever ever wondered whether signal processing could make your life easier? If yes — stick with me. This text is made for you. 🙂 Working...