Welcome to M5BMachine 5-Minute Briefing

And how it compares to the run-of-the-mill z-score The post A Case for the T-statistic appeared first on Towards Data Science.

These five options make long-running jobs easier, faster, and less frustrating than Colab.

In languages like C, you manually allocate and free memory.

Talking to software feels natural now, until you need real business data. That’s where things usually break. MCPToolbox to Databases fixes this by giving AI agents safe, reliable access to production databases through a standardized MCP interface. Databases become first-class tools that agents can i...

AI can whip up Python code in no time. The challenge, however, is keeping the code clean, readable, and maintainable.

Let's look at calculating the moving average over time The post Does Calendar-Based Time-Intelligence Change Custom Logic? appeared first on Towards Data Science.

We tuned four classifiers on student performance data with proper nested cross-validation and statistical testing. The result? Tuning changed nothing.

Learn how to perform code refactoring with LLMs The post How to Perform Large Code Refactors in Cursor appeared first on Towards Data Science.

AI and ML developers often work with local datasets while preprocessing data. Engineering features, and building prototypes make this easy without the overhead of a full server. The most common comparison is between SQLite, a serverless database released in 2000 and widely used for lightweight trans...

Numpy or SciKit-Learn might meet all your retrieval needs The post You Probably Don’t Need a Vector Database for Your RAG — Yet appeared first on Towards Data Science.

The most trusted GitHub repositories to help you master coding interviews, system design, backend engineering, scalability, data structures and algorithms, and machine learning interviews with confidence.

How sharded indexing patterns solve a scaling problem in package management The post Why Package Installs Are Slow (And How to Fix It) appeared first on Towards Data Science.

If you’ve trained a machine learning model, a common question comes up: “How do we actually use it?” This is where many machine learning practitioners get stuck.

Cyber threats aren’t slowing down, and data teams are now some of the most attractive targets in the small business world.

Diluting complex research, spotting silent data leaks, and why the best way to learn is often backwards. The post Bridging the Gap Between Research and Readability with Marco Hening Tallarico appeared first on Towards Data Science.

Stop wrestling with messy JSON. These five Python functions help you parse, validate, and transform JSON data efficiently.

We interact with LLMs every day. We write prompts, paste documents, continue long conversations, and expect the model to remember what we said earlier. When it does, we move on. When it doesn’t, we repeat ourselves or assume something went wrong. What most people rarely think about is that every res...

Imagine stepping into your first data science interview—your palms are sweaty, your mind racing, and then… you get a question you actually know the answer to. That’s the power of preparation. With data science reshaping how businesses make decisions, the race to hire skilled data scientists is more ...

How science, regulation, collaboration, and public funding shaped the world’s most mature semantic infrastructure The post Why Healthcare Leads in Knowledge Graphs appeared first on Towards Data Science.

Do you know where your data has been? The post Data Poisoning in Machine Learning: Why and How People Manipulate Training Data appeared first on Towards Data Science.

It is 2026, and in the era of Large Language Models (LLMs) surrounding our workflow, prompt engineering is something you must master. Prompt engineering represents the art and science of crafting effective instructions for LLMs to generate desired outputs with precision and reliability. Unlike tradi...

Learn how to be a more efficient programmer The post Maximum-Effiency Coding Setup appeared first on Towards Data Science.

A multi-tier approach to segmentation, color correction, and domain-specific enhancement The post From RGB to Lab: Addressing Color Artifacts in AI Image Compositing appeared first on Towards Data Science.

Acquisitions, venture, and an increasingly competitive landscape all point to a market ceiling The post The Great Data Closure: Why Databricks and Snowflake Are Hitting Their Ceiling appeared first on Towards Data Science.