Deep Dives

to this “Advent Calendar” of Machine learning and deep learning in Excel. For Day 1, we start with the k-NN (k-Nearest Neighbors) regressor algorithm. And as you will notice, this is absolutely the best...

computers and Artificial Intelligence, we had established institutions designed to reason systematically about human behavior — the court. The legal system is one in all humanity’s oldest reasoning engines, where facts and evidence...

perfect. You’re going to come across plenty of data inconsistencies. Nulls, negative values, string inconsistencies, etc. If these aren’t handled early in your data evaluation workflow, querying and analysing your data could be...

is one of the vital promising applications of LLMs, and CrewAI has quickly turn out to be a well-liked framework for constructing agent teams. But certainly one of its most vital features—the hierarchical...

across industries. Traditional engineering domains are not any exception. Previously two years, I’ve been constructing LLM-powered tools with engineering domain experts. Those are process engineers, reliability engineers, cybersecurity analysts, etc., who spend most of...

Automatic plant leaf detection is a remarkable innovation in computer vision and machine learning, enabling the identification of plant species by examining a photograph of the leaves. Deep learning is applied to extract meaningful...

before LLMs became hyped, there was an separating Machine Learning frameworks from Deep Learning frameworks. The talk was targeting Scikit-Learn, XGBoost, and similar for ML, while PyTorch and TensorFlow dominated the scene...

For the reason that conception of AI, researchers have all the time held faith in scale — that general intelligence was an emergent property born out of size. If we just carry on adding...