Turn your expertise into impact. 🚀 We're looking for passionate data scientists, ML engineers, and AI researchers to share their learnings with our global audience. Whether it's a deep dive or a simple tutorial, your voice matters more than ever. ✍️ bit.ly/TDSContributor

Master DAX filter logic. Salvatore Cagliari's new article unpacks how time intelligence functions like DATESYTD() actually work by returning tables of dates, giving you the power to create custom calculations.

"Deploy MCP servers in literally several clicks" We couldn't resist sharing this step-by-step guide in Towards Data Science showing how easy it is to build and deploy MCP servers using Alpic! Read the full tutorial: towardsdatascience.com/creating-and...

Using vision language models to process documents Source: Towards Data Science search.app/GDK1M

MCP in Practice | Towards Data Science

Every developer eventually hits the same wall: “I need SQL.” Instead of googling random queries, learn it the right way. Our #SQL course gives you structured lessons, hands-on practice, real-world scenarios + more. Start learning today 👉 roadmap.sh/courses/sql

Maria Mouschoutzi breaks down the retrieval process in RAG, showing how embeddings and similarity search make context-aware responses possible.

Mahnoor Javed breaks down how OOP concepts like classes and methods can be applied in Python through a practical Coffee Machine project.

In this article, Samir Saci breaks down his playbook for learning JavaScript through @n8n.io Code Node examples, showing how data scientists can quickly build workflows without heavy documentation.

🚀 TOP AUTHORS 🚀 Explore these articles that will help you better understand AI and look under the hood. ⭐ Amy Ma towardsdatascience.com/gen-ai-myths... ⭐ @stephaniekirmer.com towardsdatascience.com/deploying-ai... ⭐ Maria Mouschoutzi towardsdatascience.com/rag-explaine...

Parul Pandey breaks down how she has been using NotebookLM for nearly a year, exploring its potential as a teaching companion to save time and improve classroom engagement.

Improve your model evaluation beyond ROC-AUC. Learn how the Gini Coefficient measures how much better your model is than random guessing at ranking positives. Nikhil Dasari explains it simply in his new article.

Struggling with overly complex AI integrations? Discover LangGraph to simplify your development with agentic frameworks, focusing on what matters. Read Eivind Kjosbakken's newest article now.

Decide when to use an ML library versus building from scratch. Pascal Janetzky's new article shares practical rules of thumb to save you days of indecision and improve project maintainability.

Our latest Author Spotlight features Jarom Hulet, who shares his framework for running a Minimal Viable Experiment. Learn how to balance statistical rigor with business constraints to deliver net positive value.

🎓 Stuck on a topic? Our Roadmap AI Tutor creates a custom course with lessons, code, examples & quizzes. Type it in → pick difficulty → hit generate. Learning made personal 👉 roadmap.sh/ai

Reduce wasted time and resources in your video deep learning pipeline. The first step is often the most critical: metadata analysis. Jamie Petherbridge-Conroy demonstrates how to identify and filter out corrupted files, inconsistent formats + other issues before they break your training process.

Is your company struggling with AI latency and compliance? Read Arjun Kaarat's debut TDS article on an edge-most strategy that processes up to 94.9% of AI tasks locally, keeping sensitive data onsite and compliant.

The ultimate guide to the future of data apps is here! Our eBook, "How AI Is Shaping the Future of Data App Development", thanks to @plotly.com, covers everything from evolving dashboards to AI-assisted development. Download your FREE copy NOW ➡️ bit.ly/ai-data-apps...

Explore how MCP, a key player in the AI ecosystem, is enabling rapid innovation through its model-agnostic approach. Understand the practical applications that are shaping AI markets today. By Sruly Rosenblat, Ilan Strauss, Isobel Moure, and @timoreilly.bsky.social

In a new, in-depth article, Chinmay Kakatkar demonstrates how the concept of Eulerian paths can be used for algorithmic music composition. Discover how techniques from bioinformatics and logistics can unlock new possibilities in creative fields.

The costs of ML model training can skyrocket. Ryan Pégoud's new article on using Triton to write efficient GPU kernels provides a path to significant cost savings while maintaining top performance.

Missed the live session? No problem! 🎬 Watch @kamrify.bsky.social, the founder of @roadmapsh.bsky.social, demo our AI Tutor — your new dedicated personal tutor that can teach you anything.

🌟 Welcome Ahmad Talal Riaz 🌟 Ahmad joins the TDS community with an excellent guide to LLM monitoring fundamentals with insights into how to track and debug large language models in a production environment. Inspired to contribute your own insights on? Submit your article ➡️ bit.ly/TDSContributor

Reduce uncertainty and build stakeholder trust in your AI projects. Ivo Bernardo introduces the "Always Be Updating" principle, a simple yet powerful communication strategy to keep everyone aligned.

5 Techniques to Prevent Hallucinations in Your RAG Question Answering | Towards Data Science

Egor Howell breaks down the journey to becoming a machine learning engineer, highlighting the skills, resources, and roadmap to get there.

@nextjs.org is the go-to React framework for building modern, production-ready web apps ⚡ Here’s a roadmap to help you learn everything you need to master Next.js.

Why Context Is the New Currency in AI: From RAG to Context Engineering in @towardsdatascience.com towardsdatascience.com/why-context-...

🚀 TOP AUTHORS 🚀 Explore these articles on how to make smarter business decisions with AI. ⭐ Ida Silfverskiöld towardsdatascience.com/building-res... ⭐ Samir Saci towardsdatascience.com/how-to-build... ⭐ Shruti Tiwari towardsdatascience.com/building-a-u...

In this article, Sudheer Singamsetty breaks down how a production failure revealed that context matters more than computation in AI, explaining the shift from RAG pipelines to context engineering.

Benjamin Nweke breaks down the crucial role of color in data visualization, explaining how thoughtful use of color theory makes dashboards more engaging and memorable.

Vyacheslav Efimov explains how the Hungarian Algorithm, developed in the 1950s, is still powering modern computer vision, breaking down its role in multi-object tracking across video frames.

In this piece, Sara Nobrega breaks down practical prompts tailored for data scientists. Covering docs, DevOps, and stakeholder communication.

Did you know that very different business realities can hide behind the same bar chart — one of the most common ways insights are presented in the business world? Mena Wang shares practical steps to analyze group differences and avoid costly misinterpretations.

Testing code with time-dependent logic can be tricky. @taupirho.bsky.social breaks down how Freezegun helps by “freezing” time in Python tests, making debugging and validation much easier, epecially in AI and ML workflows.

@taupirho.bsky.social explains how Freezegun can simplify testing in Python by letting you manipulate and control time. He breaks down why this little-known library is especially useful when working with AI and ML systems.

Discover why the popular MissForest algorithm fails in predictive modeling and can introduce data leakage. @juniorjumbong.bsky.social's new article explains its critical limitation and introduces MissForestPredict as the solution for unbiased model evaluation.

Why is SQL still a high-paying, in-demand skill in the age of AI? Mark Pedigo's article, thanks to @datacamp.bsky.social, argues that SQL is ubiquitous and is essential for maintaining and debugging legacy code. Read the full article FREE now.

When fact-checking a claim, starting from scratch every time is slow and inefficient. This delay lets false narratives spread. Iva Pezo's debut TDS article explains a smarter approach: building systems that first check if a claim has been debunked before, even in another language.

Discover why traditional LLMs fail at tasks involving visual context, like reading checkboxes on a form. In a new article, Eivind Kjosbakken explains when and why you need to use Vision Language Models to get the right answer.

Beginner → Advanced in SQL 🚀 Overwhelmed by databases? Our #SQL Mastery Course takes you from basics to advanced queries step by step. ✅ 55+ lessons ✅ 100+ challenges ✅ Built-in IDE & AI Tutor ✅ Lifetime access + certificate Start your SQL journey today 👉 roadmap.sh/courses/sql

Thrilled to have my article featured by @towardsdatascience.com 🙏 Why MissForest (2012) fails in predictive modeling and how MissForestPredict (2024) solves this limitation. Read here 👉 towardsdatascience.com/why-missfore...

Anomaly detection has always been a tough problem in ML. Shuai Guo breaks down 7 key ways LLMs can enhance it. Get new strategies for smarter, more reliable detection.

⭐ Welcome Sean Moran to the TDS community! ⭐ Sean brings his enterprise experience to a fascinating topic: the future of scientific innovation with AI assistance. Do you know someone who should be writing for TDS? Send them our way ➡️ bit.ly/TDSContributor

Sudheer Singamsetty explains why context, not computation, is the true currency of intelligent systems, breaking down lessons learned from a failed production AI system built on RAG and semantic search.

Shuai Guo explains how LLMs are reshaping anomaly detection. He breaks down 7 emerging application patterns that every data scientist should know to boost detection accuracy and adaptability.

Benjamin Nweke explains how applying research-backed color theory principles can transform dashboards, breaking down how clarity and storytelling improve when color is used with intention.

Towards Data Science is fueled by the curiosity and clarity of our community. Your unique technical storytelling, especially in an era of AI-generated content, sets us apart. Share your work and get published ▶️ bit.ly/TDSContributor

Are deployment complexities holding back your project? Lucas See’s latest article walks you through deploying your FastAPI application on Render, simplifying the process to make your project accessible to users everywhere.