Welcome to M5BMachine 5-Minute Briefing

The approach that takes companies to the next level of data maturity The post How to Model The Expected Value of Marketing Campaigns appeared first on Towards Data Science.

Learn how to get more out of Claude code by giving it access to more information. The post How to Personalize Claude Code appeared first on Towards Data Science.

Delayed January: deadlines, downtimes, and flow times The post The Machine Learning Lessons I’ve Learned Last Month appeared first on Towards Data Science.

Learning AI in 2026 is definitely not the same as it was just a couple of years ago. Back then, the advice was simple (and intimidating): learn advanced math, master machine learning theory, and maybe – just maybe – you’d be ready to work with AI. Today, that narrative no longer holds. And the reaso...

7 Python tricks applicable to your early exploratory data analyses (EDA) to identify and deal with various data quality issues.

When I started working in the medical device industry almost 20 years ago, static analysis tools had captured the spotlight and attention of the medical device industry. This was apparent in a 2007 press article, which highlighted the United States Food and Drug Administration (FDA) Center for Devic...

AI agents are everywhere.

Data Engineering is not just about moving data from point A to point B. In 2026, data engineers are expected to design scalable, reliable, cost-efficient, and analytics-ready data systems that support real-time decision making, AI workloads, and business intelligence. Modern data engineers work at t...

Learn how to work with AI, while strengthening your unique human skills that technology cannot replace The post What I Am Doing to Stay Relevant as a Senior Analytics Consultant in 2026 appeared first on Towards Data Science.

AI has evolved far beyond basic LLMs that rely on carefully crafted prompts. We are now entering the era of autonomous systems that can plan, decide, and act with minimal human input. This shift has given rise to Agentic AI: systems designed to pursue goals, adapt to changing conditions, and execute...

The real value lies in writing clearer code and using your tools right The post Pydantic Performance: 4 Tips on How to Validate Large Amounts of Data Efficiently appeared first on Towards Data Science.

The rivalry between Anthropic and OpenAI has intensified, from competing Super Bowl ads to launching new coding models on the same day. Anthropic’s Claude Opus 4.6 and OpenAI’s Codex 5.3 are now live. Both show strong benchmarks, but which one truly stands out? I’ll put them to the test and compare ...

Here are five critical pipeline areas to audit, with practical strategies to reclaim your team’s time.

Anthropic has been buzzing as of late. It recently caused a stock market meltdown with its release of the Claude Cowork tool that tanked the stocks of major SaaS providers across the world. And now they’re about to revolutionize reasoning models with their latest release, Claude Opus 4.6, which they...

Sorting through the good, bad, and ambiguous aspects of vibe coding The post TDS Newsletter: Vibe Coding Is Great. Until It’s Not. appeared first on Towards Data Science.

AI agents that use tools, make decisions, and complete multi-step tasks aren't prototypes anymore.

Stop guessing and start diagnosing performance issues using Py-Spy The post Why Is My Code So Slow? A Guide to Py-Spy Python Profiling appeared first on Towards Data Science.

We have seen big corporate rivalries in products across the gamut. Mac and Windows went at it for long. Then it was Pepsi and Coca-Cola, Burger King and McDonald’s, BMW and Mercedes, and the list goes on. But it is the era of AI, and it was only a matter of time before the competitiveness […] The po...

Recent developments on AI models have been specifically focused on one task – coding agents. Following the line, Alibaba’s Qwen is now out with a new model, one that promises industry-leading results, all while running locally. This essentially makes it an open-weight language model designed, in the...

A simple mental model to remember when each one works (with examples that finally click). The post The Rule Everyone Misses: How to Stop Confusing loc and iloc in Pandas appeared first on Towards Data Science.

Retrieval-Augmented Generation, or RAG, has become the backbone of most serious AI systems in the real world. The reason is simple: large language models are great at reasoning and writing, but terrible at knowing the objective truth. RAG fixes that by giving models a live connection to knowledge. W...

Want to become an AI engineer in 2026? This step-by-step roadmap breaks down the skills, tools, and projects you need.

This article covers how Azure ML's persistent, workspace-centric compute resources differ from AWS SageMaker's on-demand, job-specific approach. Additionally, we explored environment customization options, from Azure's curated environments and custom environments to SageMaker's three level of custom...

Learn how to be an effective full-stack engineer with Claude Code The post How to Work Effectively with Frontend and Backend Code appeared first on Towards Data Science.