Linear Regression Is Actually a Projection Problem (Part 2: From Projections to Predictions)
The Vector View of Least Squares.
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Workflows and encoding techniques in quantum machine learning
The post How to Handle Classical Data in Quantum Models? appeared first on Towards Data Science.
The Inversion Error: Why Safe AGI Requires an Enactive Floor and State-Space Reversibility
A systems design diagnosis of hallucination, corrigibility, and the structural gap that scaling cannot close
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What Happens Now That AI is the First Analyst On Your Team?
How I am adapting in my career in the age of AI, automation, and when everything moving faster than expected.
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Turning 127 Million Data Points Into an Industry Report
What I learned about data wrangling, segmentation, and storytelling while building an application security report from scratch
The post Turning 127 Million Data Points Into an Industry Report appeared first on Towards Data Science.
How to Lie with Statistics with your Robot Best Friend
What is p hacking, is it bad, and can you get ai to do it for you?
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Why Data Scientists Should Care About Quantum Computing
Sara A. Metwalli on the rise of a promising new technology, the effects of LLM on her work, and more.
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How ElevenLabs Voice AI Is Replacing Screens in Warehouse and Manufacturing Operations
A warehouse picking operation is the process of collecting items from storage locations to fulfil customer orders. It is one of the most labour-intensive activities in logistics, accounting for up to 55% of total warehouse operating costs. For each order, an operator receives a list of items to coll...
How to Make Your AI App Faster and More Interactive with Response Streaming
In my latest posts, we’ve talked a lot about prompt caching as well as caching in general, and how it can improve your AI app in terms of cost and latency. However, even for a fully optimized AI app, sometimes the responses are just going to take some time to be generated, and there’s simply […]
The...
Beyond Code Generation: AI for the Full Data Science Workflow
Using Codex and MCP to connect Google Drive, GitHub, BigQuery, and analysis in one real workflow
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The Complete Guide to AI Implementation for Chief Data & AI Officers in 2026
How to leverage a framework to effectively prioritize AI Initiatives to rapidly accelerate growth and efficiency
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Prompt Caching with the OpenAI API: A Full Hands-On Python tutorial
A step-by-step guide to making your OpenAI apps faster, cheaper, and more efficient
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While efficiency is an important source of AI value, it is only part of the picture
The post How to Measure AI Value appeared first on Towards Data Science.
Agentic RAG Failure Modes: Retrieval Thrash, Tool Storms, and Context Bloat (and How to Spot Them Early)
Why agentic RAG systems fail silently in production and how to detect them before your cloud bill does
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Vibe Coding with AI: Best Practices for Human-AI Collaboration in Software Development
Accelerate coding with AI while staying in control and building reliable, production-ready software.
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Get more out of your coding agents by making reviewing more efficient
The post How to Effectively Review Claude Code Output appeared first on Towards Data Science.
How a Neural Network Learned Its Own Fraud Rules: A Neuro-Symbolic AI Experiment
Most neuro-symbolic systems inject rules written by humans. But what if a neural network could discover those rules itself?
In this experiment, I extend a hybrid neural network with a differentiable rule-learning module that automatically extracts IF-THEN fraud rules during training. On the Kaggle C...