Welcome to M5BMachine 5-Minute Briefing

In DAX, we reuse existing measures all the time when writing new measures. What happens when we write a measure based on another measure and try to change a filter already set in the nested measure? The post How to Solve Issues When You Nest Measures While Overwriting the Same Filter appeared first ...

That is a slightly awkward introduction to OpenAI Dot, but a useful one. In this article I’ll be discussing what this autonomous 24/7 agent (which consumes no usage) can do, what it is, how you can access it (along with its setup), and a live analytics exercise I ran after on Dot. By the time […] Th...

One run, and what it actually proves The post Towards Spec-Driven Test Automation: Part 2 appeared first on Towards Data Science.

Learn how to use Julius AI to analyze Excel data, verify key findings, and turn them into an editable PowerPoint presentation.

Benchmarking the impact of fewer, larger files across three SQL workloads The post I Compacted 1,000 Apache Iceberg Files Into 6. Here’s What Happened to Query Performance. appeared first on Towards Data Science.

Not every decision needs a decoder, generation Is not always a decision The post When All You Have Are Decoders, Every Decision Looks Like Generation appeared first on Towards Data Science.

Agent design patterns every data engineer must know The post How to Design Architectural Guardrails Around AI Agents appeared first on Towards Data Science.

A practical guide to what changed, the benchmarks that matter, the cost controls developers should not miss, and one hands-on demo worth building.  Anthropic has just released Claude Sonnet 5.5. It is the middle child of the Claude family, and the one most people will actually use. It is quick, capa...

A solution where the "goto" operator becomes irreplaceable. The post Guided Merge Sort : An Optimized Sorting that Picks the Best from Ordinary and Multi-Way Merge Sort Algorithms appeared first on Towards Data Science.

Here's how each got to where it is, a real use case and working code for both, and a side-by-side on the numbers that actually matter.

Turn a small open-source Qwen LLM into a fast, single-pass text classifier by swapping its language-modeling head The post How to Make Your Own JEV Model from an Open LLM appeared first on Towards Data Science.

A small, strange discovery in machine learning called grokking The post The AI That Learned to Understand Long After It Stopped Trying appeared first on Towards Data Science.

When Numba code disappoints, it's nearly never the compiler, and usually ends up being the boundary around the compiled code: not crossing it, not making it wide enough, or crossing it during every run.

Detect hidden shifts in feature relationships with adversarial validation and scikit-learn The post How to Catch Data Drift When Every Feature Looks Normal appeared first on Towards Data Science.

We finish off our short series on SLM optimization with the third entry, focused on batching by length instead of looping item by item.

Theory is easier to trust once it's running against a real API, so both examples in this article use the same tool — a get_weather function backed by <a href="https://open-meteo.

Leveling up rarely means new syntax. It means learning what the language already promised you.

I tested TypeSafe AI’s Jev on 3,080 classification tasks to see how its accuracy, latency, calibration, and confidence compare with LLMs — and whether it works as a practical decision layer for AI systems. The post Jev vs. LLMs: When AI moves from Generation to Decision-making appeared first on Towa...

Get more out of your coding agent subscriptions The post How to Maximize Your Coding Agent Subscriptions appeared first on Towards Data Science.

KDnuggets team member Shittu Olumide tested out DeepSeek Harness. Here's what he found.

Six habits that keep a notebook runnable after you close the laptop.

A Journey through TF-IDF, vector space, and text classification The post From Words to Vectors: What Happens in Between? appeared first on Towards Data Science.

In this article, you will learn the mechanical difference between retrieval-augmented generation and fine-tuning, when each technique is the right tool, and how to decide...

A beginner-friendly guide to building a world model in Python, letting it daydream its way through CartPole, and accurately measuring when the illusion collapses. The post How to Make Your First World Model from Scratch appeared first on Towards Data Science.