Water Cooler Small Talk, Ep. 9: What “Thinking” and “Reasoning” Really Mean in AI and LLMs

talk is a special kind of small talk, typically observed in office spaces around a water cooler. There, employees frequently ...
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Data Visualization Explained (Part 4): A Review of Python Essentials

in my data visualization series. See the following: Up to this point in my data visualization series, I have covered ...
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Agentic AI from First Principles: Reflection

says that “any sufficiently advanced technology is indistinguishable from magic”. That’s exactly how a lot of today’s AI frameworks feel. ...
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Is RAG Dead? The Rise of Context Engineering and Semantic Layers for Agentic AI

Introduction Retrieval-Augmented Generation (RAG) may have been necessary for the first wave of enterprise AI, but it’s quickly evolving into ...
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Can We Save the AI Economy?

And do we want to? The post Can We Save the AI Economy? appeared first on Towards Data Science. Source ...
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Machine Learning Meets Panel Data: What Practitioners Need to Know

Authors: Augusto Cerqua, Marco Letta, Gabriele Pinto learning (ML) has gained a central role in economics, the social sciences, and ...
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Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator

Computer vision is a vast area for analyzing images and videos. While many people tend to think mostly about machine ...
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Building A Successful Relationship With Stakeholders

As a data scientist your job is to leverage data to solve business problems and bring value, normally by building ...
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How the Rise of Tabular Foundation Models Is Reshaping Data Science

Tabular Data! Recent advances in AI—ranging from systems capable of holding coherent conversations to those generating realistic video sequences—are largely ...
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Past is Prologue: How Conversational Analytics Is Changing Data Work

— We’ve Been Down This Road Many who have come before have bemoaned the analytics dashboard. Dashboards may contain a ...
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