machine learning

The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint

, it is rather easy to coach any model. And the training process is at all times done with the seemingly same method fit. So we get used to this concept that training any...

Metric Deception: When Your Best KPIs Hide Your Worst Failures

of Green Dashboards Metrics bring order to chaos, or not less than, that’s what we assume. They summarise multi-dimensional behaviour into consumable signals, clicks into conversions, latency into availability and impressions into ROI. Nonetheless,...

TDS Newsletter: November Must-Reads on GraphRAG, ML Projects, LLM-Powered Time-Series Evaluation, and More

Never miss a brand new edition of , our weekly newsletter featuring a top-notch choice of editors’ picks, deep dives, community news, and more. With the tip of the yr just a couple of weeks...

Neural Networks Are Blurry, Symbolic Systems Are Fragmented. Sparse Autoencoders Help Us Mix Them.

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...

RISAT’s Silent Promise: Decoding Disasters with Synthetic Aperture Radar

taking a look at satellite data, it seemed totally unattainable to me that a spacecraft that orbits the Earth at a distance of several hundred kilometers can actually see a flooded street in...

Ten Lessons of Constructing LLM Applications for Engineers

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...

Construct an Over-Engineered Retrieval System

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,...

PyTorch Tutorial for Beginners: Construct a Multiple Regression Model from Scratch

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...

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