Welcome to M5BMachine 5-Minute Briefing

What is p hacking, is it bad, and can you get ai to do it for you? The post How to Lie with Statistics with your Robot Best Friend appeared first on Towards Data Science.

Learn five simple Python scripts to perform effective feature selection. Each one is practical, minimal, and easy to use in real projects.

Sara A. Metwalli on the rise of a promising new technology, the effects of LLM on her work, and more. The post Why Data Scientists Should Care About Quantum Computing appeared first on Towards Data Science.

Pandas DataFrames provide powerful tools for selecting and indexing data efficiently. The two most commonly used indexers are .loc and .iloc. The .loc method selects data using labels such as row and column names, while .iloc works with integer positions based on a 0-based index. Although they may s...

If you have ever looked at a professional spreadsheet, you must have noticed titles spanning across multiple columns. That is the most essential and widely used example of a popular Excel function called Merge. Continuing our Excel 101 series, we shall explore the Cell Merge function today. We shall...

Simulate a quantum computer with Qiskit The post A Beginner’s Guide to Quantum Computing with Python appeared first on Towards Data Science.

A warehouse picking operation is the process of collecting items from storage locations to fulfil customer orders. It is one of the most labour-intensive activities in logistics, accounting for up to 55% of total warehouse operating costs. For each order, an operator receives a list of items to coll...

Transformers power modern NLP systems, replacing earlier RNN and LSTM approaches. Their ability to process all words in parallel enables efficient and scalable language modeling, forming the backbone of models like GPT and Gemini. In this article, we break down how Transformers work, starting from t...

In my latest posts, we’ve talked a lot about prompt caching as well as caching in general, and how it can improve your AI app in terms of cost and latency. However, even for a fully optimized AI app, sometimes the responses are just going to take some time to be generated, and there’s simply […] The...

Traditional databases answer a well-defined question: does the record matching these criteria exist? <a href="https://machinelearningmastery.

Using Codex and MCP to connect Google Drive, GitHub, BigQuery, and analysis in one real workflow The post Beyond Code Generation: AI for the Full Data Science Workflow appeared first on Towards Data Science.

Debugging Python doesn’t need to be complicated. These 5 DIY functions simplify error handling and improve code reliability.

Explore ChatLLM by Abacus AI, an all-in-one AI platform that brings together tools like ChatGPT, Claude, and Midjourney into a single workflow. Learn about its features, pricing, and real-world use cases.

Supercharge Claude Code with continual learning The post How to Make Claude Code Improve from its Own Mistakes appeared first on Towards Data Science.

Learn the analytics pattern you can use in most business analytics tasks.

How to leverage a framework to effectively prioritize AI Initiatives to rapidly accelerate growth and efficiency The post The Complete Guide to AI Implementation for Chief Data & AI Officers in 2026 appeared first on Towards Data Science.

Was "move fast and break things" ever really the best approach to building a business?

Skip the hype and follow these 10 X accounts for reliable LLM papers, product launches, and thoughtful takes on where AI is heading.

Slow Python code is often caused by small inefficiencies. With a few beginner-friendly techniques, you can make your programs run noticeably faster. This guide will teach you how.

One of the core challenges of data science is drawing meaningful causal conclusions from observational data. In many such cases, the goal is to estimate the true impact of a treatment or behaviour as fairly as possible. This article explores Propensity Score Matching (PSM), a statistical technique u...

With so much happening in AI and machine learning today, figuring out where to start can feel overwhelming. Different learners prefer different approaches! Some want visuals, others prefer coding. Some prefer short form, others lean toward long-form learning. While many simply want a clear path into...

A step-by-step guide to making your OpenAI apps faster, cheaper, and more efficient The post Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial appeared first on Towards Data Science.

AI coding assistants have quickly moved from optional tools to a core part of modern software development. Adoption is accelerating fast. Around 84% of developers now use or plan to use AI tools, and over half use them daily. The market has already reached about $8.5 billion in 2026 and is growing r...

What if the way we build AI document chatbots today is flawed? Most systems use RAG. They split documents into chunks, create embeddings, and retrieve answers using similarity search. It works in demos but often fails in real use. It misses obvious answers or picks the wrong context. Now there is a ...