Explore the latest AI news and research tagged #deep dives — curated from top sources including OpenAI, Anthropic, Google DeepMind, and more.
Exploring the inner workings of a decoder-only Transformer foundation model The post Timer-XL: A Long-Context Foundation Model for Time-Series Forecasting appeared first on Towards Data Science .
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…
Part 2. Building scale-invariant agents that seamlessly change contexts The post Surviving High Uncertainty in Logistics with MARL appeared first on Towards Data Science .
A review of the Cross-Stage Partial Network paper — and a from-scratch PyTorch implementation The post CSPNet Paper Walkthrough: Just Better, No Tradeoffs appeared first on Towards Data Science .
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…
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…
How to make decisions when your spreadsheet is lying about the future The post A Gentle Introduction to Stochastic Programming appeared first on Towards Data Science .
Structure is all you need The post Proxy-Pointer RAG: Multimodal Answers Without Multimodal Embeddings appeared first on Towards Data Science .
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,…
NaNs don’t crash your training — they quietly destroy it. After losing hours to a silent failure in a ResNet training run, I built a lightweight detector that pinpoints the…
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…
We have the document clusters, and it’s time to unlock their true potential! Let’s explore how to extract meaningful information from the actionable clusters. The post The Essential Guide to…
It’s simpler than you think. The post Lasso Regression: Why the Solution Lives on a Diamond appeared first on Towards Data Science .
Learn how Propensity Score Matching uncovers true causality in observational data. By finding "statistical twins," we eliminate selection bias to reveal the real impact of your interventions and business decisions.…
How you can build your own Thompson Sampling Algorithm object in Python and apply it to a hypothetical yet real-life example The post DIY AI & ML: Solving The Multi-Armed…
For any data scientist who works in a team, being able to undo Git actions can be a life saver. This practical guide will teach you all you need to…