Welcome to M5BMachine 5-Minute Briefing

Check the tools your LLM uses before replacing it with just a more powerful model The post How to Keep MCPs Useful in Agentic Pipelines appeared first on Towards Data Science.

The bygone year has been an interesting one, especially so for the age of AI that is fast coming. We saw AI agents rise for the first time and take over repetitive tasks that traditionally required a human workforce. However, in 2025, most AI agents still lived inside demos, copilots, and experiment...

What happens when your clear dashboard meets stakeholders who want everything on one screen The post The Real Challenge in Data Storytelling: Getting Buy-In for Simplicity appeared first on Towards Data Science.

Editor's note: This article is a part of our series on visualizing the foundations of machine learning.

Five key learnings that I discovered during a programming challenge and how they apply to data science The post What Advent of Code Has Taught Me About Data Science appeared first on Towards Data Science.

Understanding retrieval in RAG systems by experimenting with different chunk sizes The post Chunk Size as an Experimental Variable in RAG Systems appeared first on Towards Data Science.

Gradient Descent, Momentum, RMSProp, and Adam all aim for the same minimum. They do not change the destination, only the path. Each method adds a mechanism that fixes a limitation of the previous one, making the movement faster, more stable, or more adaptive. The goal stays the same. The update beco...

There is no shortage of resources available online and offline when it comes to learning Python. However, not all Python books are created equal. Some are best suited for beginners, while others are designed for experienced programmers or learners with specific goals. In this article, I have curated...

With some hints for good numerics The post Overcoming Nonsmoothness and Control Chattering in Nonconvex Optimal Control Problems appeared first on Towards Data Science.

The core idea behind Chain of Thought (CoT) is to encourage an AI model to reason step by step before producing an answer. While the concept itself is not new and is essentially a structured way of asking models to explain their reasoning, it remains highly relevant today. Interest in CoT increased ...

In machine learning and data science, evaluating a model is as important as building it. Accuracy is often the first metric people use, but it can be misleading when the data is imbalanced. For this reason, metrics such as precision, recall, and F1 score are widely used. This article focuses on the ...

How to ensure your coding agent has the same context as you The post How to Facilitate Effective AI Programming appeared first on Towards Data Science.

One of the most confusing questions in tech right now is: What is the difference between an AI engineer and a machine learning engineer? Both are six-figure jobs, but if you choose the wrong one, you could waste months of your career learning the wrong skills and miss out on quality roles. As a prac...

A quick look at the top 7 agentic AI browsers that can search the web for you, fill forms automatically, handle research, draft content, and streamline your entire workflow.

Predicting the future has always been the holy grail of analytics.

More machine learning systems now rely on AI agents, which makes careful safety evaluation essential. With more and more vulnerabilities coming to the fray, it’s nigh impossible for a single unified protocol to stay up to date with them all. This piece introduces MLflow as a practical framework for ...

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.