Welcome to M5BMachine 5-Minute Briefing

The eternal promise of self-service analytics The post Why 90% Accuracy in Text-to-SQL is 100% Useless appeared first on Towards Data Science.

Looking at the performance of different pipelines The post When Does Adding Fancy RAG Features Work? appeared first on Towards Data Science.

AI systems feel smarter than ever. They answer quickly, confidently, and with polish. But beneath that surface, something subtle is going wrong. Outputs are getting safer. Ideas are getting narrower. Surprise is disappearing – less aweful.  This matters because AI is increasingly involved in how we ...

Embeddings — vector-based numerical representations of typically unstructured data like text — have been primarily popularized in the field of natural language processing (NLP).

Learn how I utilize slash commands to be a more efficient engineer The post How to Leverage Slash Commands to Code Effectively appeared first on Towards Data Science.

AI is taking over the world. If you don’t agree to this, you need to have a look at the latest technologies presented at one of the biggest annual technology events – the CES 2026. Consumer Electronics Show, which takes place in Las Vegas, US, every year, brings forward the best of technologies bein...

Hands-on walkthroughs of problems and solution approaches that power real‑world data science use cases The post Data Science Spotlight: Selected Problems from Advent of Code 2025 appeared first on Towards Data Science.

Forget stiff lines and wild polynomials. Discover why Splines are the "Goldilocks" of feature engineering, offering the perfect balance of flexibility and discipline for non-linear data using Scikit-Learn’s SplineTransformer. The post Mastering Non-Linear Data: A Guide to Scikit-Learn’s SplineTransf...

Tired of repetitive data cleaning tasks? This article covers five Python scripts that handle common data cleaning tasks efficiently and reliably.

And why Fourier features change everything The post Teaching a Neural Network the Mandelbrot Set appeared first on Towards Data Science.

Don't miss our most popular articles of the previous month The post TDS Newsletter: December Must-Reads on GraphRAG, Data Contracts, and More appeared first on Towards Data Science.

Most RAG demos stop at “upload a PDF and ask a question.” That proves the pipeline works. It doesn’t prove you understand it. These projects are designed to break in interesting ways. They surface bias, contradictions, forgotten context, and overconfident answers. That’s where real RAG learning star...

Apply the best methods from academia to get the most out of practical applications The post How to Improve the Performance of Visual Anomaly Detection Models appeared first on Towards Data Science.

How approximate vector search silently degrades Recall—and what to do about It The post HNSW at Scale: Why Your RAG System Gets Worse as the Vector Database Grows appeared first on Towards Data Science.

The beginning of a new year brings about a new sense of energy in most. One may argue that it is all psychological, as nothing changes other than the date. Agreed, to a point. Though it is psychological, the change is not just based on the onset of a “new year.” A deep-rooted logical reasoning […] T...

My take after 10 years in Supply Chain on why this can be an excellent playground for data scientists who want to see their skills valued. The post Why Supply Chain is the Best Domain for Data Scientists in 2026 (And How to Learn It) appeared first on Towards Data Science.

I get the AI scare, and if I am being honest here, you should take it seriously too. The AI age is unfolding fast, and we are seeing automation enter just about every sector. Once it does, there is absolutely no argument that the entire dynamics of human roles will change. So, for most of […] The po...

In machine learning with categorical data, it is common to encode the categories as dummy variables (sometimes called one hot encoding) to encode categories as numerical values. This is a significant step since there are many algorithms that do not operate on other things other than numbers like lin...

In this article, we retroactively analyze what I would consider the ten most consequential, broadly impactful AI storylines of 2025, and gain insight into where the field is going in 2026.

Part 2: Avoiding burnout, learning strategies and the superpower of solitude The post The Best Data Scientists Are Always Learning appeared first on Towards Data Science.

Make your coding agents more efficient The post How to Optimize Your AI Coding Agent Context appeared first on Towards Data Science.

From unstructured text to structured Knowledge Graphs The post GliNER2: Extracting Structured Information from Text appeared first on Towards Data Science.

Data science powers decision-making across modern businesses, from data preparation and automation to advanced analytics and machine learning. Learning it requires a strong foundation in mathematics, statistics, programming, and practical problem-solving. The good news is that data science can be se...

AI-based coding agents are changing developer workflows. Proof – the arrival of Gemini 3 Pro in the Gemini CLI. It shows a significant advancement. For instance, it provides advanced reasoning, enhanced tool usage, and natural-language coding right in the terminal. Developers will be able to generat...