Explore the latest AI news and research tagged #data science — curated from top sources including OpenAI, Anthropic, Google DeepMind, and more.
#data science
29 articles
📈 Newsletters
Towards Data Science
13 min read
A scenario analysis case study on calibrated uncertainty, historical error, and why some models are most useful when they refuse to forecast. The post When the Uncertainty Is Bigger Than the Shock: Scenario Modelling for English Local Elections appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
5 min read
Stop shifting elements in lists! Discover why collections.deque is the secret to high-performance sliding windows, thread-safe queues, and efficient data streams in your next Python project. The post Beyond Lists:…
📈 Newsletters
Towards Data Science
7 min read
A physicist's approach to building production-grade agents The post Why I Don’t Trust LLMs to Decide When the Weather Changed appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
6 min read
What you see is rarely what you get with flashy dashboards and data storytelling The post Deconstruct Any Metric with a Few Simple ‘What’ Questions appeared first on Towards Data…
📈 Newsletters
Towards Data Science
11 min read
Part 1: The basics — discretization of time, censoring and the life table The post Discrete Time-To-Event Modeling – Predicting When Something Will Happen appeared first on Towards Data Science…
🎪 Newsletters
Towards AI
10 min read
Last Updated on May 4, 2026 by Editorial Team Author(s): Rishav Saigal Originally published on Towards AI. A technical deep-dive into the LangGraph state machine, Pydantic-driven routing, and Critique Agent…
🎪 Newsletters
Towards AI
3 min read
Last Updated on May 4, 2026 by Editorial Team Author(s): Felix Pappe Originally published on Towards AI. The downward spiral of relying on AI Agents Chatbots have taken the world…
📈 Newsletters
Towards Data Science
13 min read
A practitioner's decision framework for Ridge, Lasso, and ElasticNet based on three quantities you can compute before fitting a model The post Which Regularizer Should You Actually Use? Lessons from…
📈 Newsletters
Towards Data Science
11 min read
A data quality case study from English local elections on categorical normalisation, metric validation, and why raw labels should never define analytical groups. The post Churn Without Fragmentation: How a…
📈 Newsletters
Towards Data Science
13 min read
The first database built for AI Agents The post Ghost: A Database for Our Times? appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
17 min read
Or why what appears powerful can be methodologically fragile The post Why Powerful Machine Learning Is Deceptively Easy appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
10 min read
How can you validate that your variables tell a consistent risk? The post How to Study the Monotonicity and Stability of Variables in a Scoring Model using Python appeared first…
📈 Newsletters
Towards Data Science
9 min read
The best machine learning model is not one model The post Ensembles of Ensembles of Ensembles: A Guide to Stacking appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
16 min read
A deep dive into how Apache Flink works, why it exists, and learning it while building a real-time recommendation engine The post System Design Series: Apache Flink from 10,000 Feet,…
🎪 Newsletters
Towards AI
5 min read
Last Updated on April 29, 2026 by Editorial Team Author(s): Tina Sharma Originally published on Towards AI. What FAISS Does Well, Where It Stops, and When to Use a Vector…
📈 Newsletters
Towards Data Science
14 min read
Using autoresearch to optimise marketing campaigns under budget constraints The post Let the AI Do the Experimenting appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
6 min read
What does correlation tells us? The post Correlation Doesn’t Mean Causation! But What Does It Mean? appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
8 min read
Sabrine Bendimerad on why flexibility is a crucial data science skill, the risks of outsourcing human thinking to AI agents, and the changing terrain of career paths today. The post…
📈 Newsletters
Towards Data Science
14 min read
A simulation of how a single forecast change moves through five planning teams, and why most retailers lose money in the gap between Sales and Stores. The post How Spreadsheets…
📈 Newsletters
Towards Data Science
19 min read
Most slow Pandas code "works", until it doesn't. Learn how to spot hidden bottlenecks, avoid costly row-wise operations, and know when Pandas is no longer enough. The post I Reduced…
📈 Newsletters
Towards Data Science
12 min read
How does decision-gravity dictate this gap? The post Causal Inference Is Different in Business appeared first on Towards Data Science .
📈 Newsletters
Towards Data Science
7 min read
More variables don't make a better scoring model. Stable variables do. Here's how to find them. The post How to Select Variables Robustly in a Scoring Model appeared first on…
📈 Newsletters
Towards Data Science
11 min read
The silent gaps in synthetic data that only show up when your model is already in production. The post Your Synthetic Data Passed Every Test and Still Broke Your Model…
📈 Newsletters
Towards Data Science
27 min read
It’s simpler than you think. The post Lasso Regression: Why the Solution Lives on a Diamond appeared first on Towards Data Science .