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Beyond writing code, these are the design-level decisions, trade-offs, and habits that quietly separate senior…
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In this article, I’ll show you how to use two popular Python libraries to carry…
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Latest
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What worked, what broke, and why I did it
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Softmax Regression is simply Logistic Regression extended to multiple classes. By computing one linear score…
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In the Author Spotlight series, TDS Editors chat with members of our community about their…
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Introduction If you work in data science, data engineering, or as as a frontend/backend developer,…
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Ridge and Lasso regression are often perceived as more complex versions of linear regression. In…
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Learn how to become a more efficient programmer with local testing
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NeurIPS 2025 Best Paper Review: Qwen’s Systematic Exploration of Attention Gating
Large Language ModelsThis one little trick can bring about enhanced training stability, the use of larger learning…
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In this article, we rebuild Logistic Regression step by step directly in Excel. Starting from…
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Most breakthroughs in deep learning — from simple neural networks to large language models —…
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Editor’s Picks
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A step-by-step tutorial that explores the Python Turtle Module
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Understanding how LLM agents transfer control to each other in a multi-agent system with LangGraph
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From idea to impact : using AI as your accelerating copilot
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GraphRAG in Practice: How to Build Cost-Efficient, High-Recall Retrieval Systems
Large Language ModelsSmarter retrieval strategies that outperform dense graphs — with hybrid pipelines and lower cost
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Bridging the Silence: How LEO Satellites and Edge AI Will Democratize Connectivity
Artificial IntelligenceWhy on-device intelligence and low-orbit constellations are the only viable path to universal accessibility
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How I keep up with papers with a mix of manual and AI-assisted reading
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What a simple puzzle game reveals about experimentation, product thinking, and data science
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A new NeurIPS 2025 paper shows how self-supervised learning imbues ViT with better image understanding…
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Why continuous learning matters & how to come up with topics to study
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The Variable Newsletter
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On the challenges of producing reliable insights and avoiding common mistakes
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TDS Newsletter: November Must-Reads on GraphRAG, ML Projects, LLM-Powered Time-Series Analysis, and More
The VariableDon’t miss our most-read stories of the past month
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Deep Dives
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Introduction How do we identify latent groups of patients in a large cohort? How can…
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How to learn AI in 2026 through real, usable projects
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Isolation Forest may look technical, but its idea is simple: isolate points using random splits.…
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Flyin’ Like a Lion on Intel Xeon
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The behaviors that get you promoted
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A detailed walkthrough of the YOLOv1 architecture and its PyTorch implementation from scratch
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