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Towards Data Science

  • The Vector View of Least Squares.

  • Workflows and encoding techniques in quantum machine learning

Latest

  • Run Quantum Experiments with Qiskit-Aer

  • A systems design diagnosis of hallucination, corrigibility, and the structural gap that scaling cannot close

  • Why thinking longer can matter more than being bigger

  • How I am adapting in my career in the age of AI, automation, and when…

  • Learn why embedding models are like a GPS for meaning. Instead of searching for exact…

  • Make your coding agent more efficient

  • I’ve been so surprised by how fast individual builders can now ship real and useful…

  • What I learned about data wrangling, segmentation, and storytelling while building an application security report…

  • What is p hacking, is it bad, and can you get ai to do it…

Editor’s Picks

  • SHAP needs 30 ms to explain a fraud prediction. That explanation is stochastic, runs after…

  • Using Codex and MCP to connect Google Drive, GitHub, BigQuery, and analysis in one real workflow

  • Photo by Jeanna Song on Unsplash

    Understanding how to set up human-in-the-loop (HITL) agentic workflows in LangGraph

  • How AI agents, data foundations, and human-centered analytics are reshaping the future of decision-making

  • We’ve become remarkably good at building sophisticated agent systems, but we haven’t developed the same…

  • Rapid prototyping with Replit, AI agents, and minimal manual coding

  • A step-by-step guide to making your OpenAI apps faster, cheaper, and more efficient

  • Building products without the coding part

  • A practical guide to caching layers across the RAG pipeline, from query embeddings to full…

The Variable Newsletter

  • Authors can now benefit from updated earning tiers and a higher article cap

  • Sorting through the good, bad, and ambiguous aspects of vibe coding

Deep Dives

  • What happens when your production model drifts and retraining isn’t an option? This article shows…

  • It’s easier than ever to 10x your output with agentic AI.

  • Split illustration of a librarian and a friendly robot in a library. On the left, the robot is overwhelmed by messy stacks of books and papers labelled “irrelevant.” On the right, the librarian hands the robot a small, tidy stack of relevant books, showing a more focused and efficient research process.

    Why retrieval that looks excellent on paper can still behave like noise in real RAG…

  • How to leverage a framework to effectively prioritize AI Initiatives to rapidly accelerate growth and…

  • Concept drift in fraud detection model causing domino effect of fraudulent transactions with early anomaly detection signal

    This Article asks what happens next. The model has encoded its knowledge of fraud as…

  • Piecewise linear approximations are a practical way to handle nonlinear constrained models using LP/MIP solvers…