Welcome to M5BMachine 5-Minute Briefing

Deep learning workloads are increasingly memory-bound, with GPU cores sitting idle while waiting for data transfers. FP8 precision solves this on newer hardware, but what about the millions of RTX 30 and 20 series GPUs already deployed? Feather demonstrates that software-based FP8 emulation through ...

A practical guide to Hugging Face Transformers and to how you can analyze your resumé sentiment in seconds with AI The post Hugging Face Transformers in Action: Learning How To Leverage AI for NLP appeared first on Towards Data Science.

Large language models are powerful, but on their own they have limitations. They cannot access live data, retain long-term context from previous conversations, or perform actions such as calling APIs or querying databases. LangChain is a framework designed to address these gaps and help developers b...

The role of a Data Analyst in 2026 looks very different from even a few years ago. Today’s analysts are expected to work with messy data, automate reporting, explain insights clearly to business stakeholders, and responsibly use AI to accelerate their workflow. This Data Analyst learning path for 20...

SQL is one of those skills that shows up everywhere, data analytics, backend engineering, reporting, and even product roles. But when it comes to resources for learning it, they aren’t as omnipresent. The conventional ways of reading documentation or textbooks isn’t how everyone learns best. Some le...

A hands-on tour of using cProfile + SnakeViz to find (and fix) the "hot" paths in your code. The post Think Your Python Code Is Slow? Stop Guessing and Start Measuring appeared first on Towards Data Science.

Learn Docker by doing with five beginner-friendly projects covering hosting, multi-container apps, CI, and monitoring.

A step-by-step guide from weather API ETL to dashboard on Databricks The post How to Build an AI-Powered Weather ETL Pipeline with Databricks and GPT-4o: From API To Dashboard appeared first on Towards Data Science.

MAP and MRR look intuitive, but they quietly break ranking evaluation. Here’s why these metrics mislead—and how better alternatives fix it. The post Why MAP and MRR Fail for Search Ranking (and What to Use Instead) appeared first on Towards Data Science.

Obtaining the text in a messy PDF file is more problematic than it is helpful. The problem does not lie in the ability to transform pixels into text, but rather, in maintaining the structure of the document. Tables, headings, and images should be in the right sequence. When using Mistral OCR 3, it i...

Learn how to code more effectively using AI The post 4 Techniques to Optimize AI Coding Efficiency appeared first on Towards Data Science.

If you’ve ever watched a game and wondered, “How do brands actually measure how often their logo shows up on screen?” you’re already asking an ACR question. Similarly, insights like: are all powered by Automatic Content Recognition (ACR) technology. It looks at raw audio/video and figures out what i...

Multiple hypothesis testing, P-values, and Monte Carlo The post Bonferroni vs. Benjamini-Hochberg: Choosing Your P-Value Correction appeared first on Towards Data Science.

How can we reason with uncertainty and make smarter decisions from data? This article explains the key probability ideas in data science.

No matter what your role is, I can bet you waste (at least some) time in your job. Not because you want to. You waste time because your job quietly demands it. Copying data from one tool to another. Chasing approvals. Sending the same update for the tenth time. Such mundane, yet essential tasks deci...

Gradient descent in function space with decision trees The post The Machine Learning “Advent Calendar” Day 21: Gradient Boosted Decision Tree Regressor in Excel appeared first on Towards Data Science.

From Random Ensembles to Optimization: Gradient Boosting Explained The post The Machine Learning “Advent Calendar” Day 20: Gradient Boosted Linear Regression in Excel appeared first on Towards Data Science.

This article explains how Gistr transforms the way data professionals interact with their most valuable asset: their accumulated knowledge.

A story about failing forward, spheres you can’t visualize, and why sometimes the math knows things before we do The post The Geometry of Laziness: What Angles Reveal About AI Hallucinations appeared first on Towards Data Science.

It is that time of the year again when work begins to slow down and the weather turns pleasant. Families and friends start coming together to celebrate the festive season and welcome the new year. As you prepare for Christmas and New Year celebrations, you can now create personalized greeting cards ...

Comparing metrics across datasets and models The post How to Do Evals on a Bloated RAG Pipeline appeared first on Towards Data Science.

ESG reporting or Environmental, Social, and Governance reporting, often feels overwhelming because the data comes from so many places and takes ages to pull together. Teams spend most of their time collecting numbers instead of interpreting what they mean. Agentic AI changes that dynamic. Instead of...

What do regular technology users think (and know) about AI? The post Understanding the Generative AI User appeared first on Towards Data Science.

Understanding ensemble learning from first principles in Excel The post The Machine Learning “Advent Calendar” Day 19: Bagging in Excel appeared first on Towards Data Science....