Data Science Weekly - Issue 658

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Data Science Weekly - Issue 658<br>Curated news, articles and jobs related to Data Science, AI, & Machine Learning<br>Data Science Weekly<br>Jul 02, 2026

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Issue #659<br>June 26, 2026

Hello!<br>Once a week, we write this email to share the links we thought were worth sharing in the Data Science, ML, AI, Data Visualization, and ML/Data Engineering worlds.

And now…let’s dive into some interesting links from this week.

Editor's Picks

Where to Find the Colors Your Screen Can’t Show You<br>There are colors that I want to show you, but I can’t. They exist in the real world. You probably saw some of them today, but I can’t show them to you on a screen. A digital photograph can’t capture them, and your screen can’t display them. No game you’ve ever played has contained them. Unless you have specialized equipment, they are entirely absent from the digital world…

Finding the Best Dog Treat with Statistics: A Greyhound, five treats, and a Bradley-Terry model<br>Bebop, my 83lb, 33 inch tall, Greyhound, loves three things: running fast, following me around the house, and treats. Whether it’s a chew treat, pizza out of a child’s hand who strayed too far from a party, or a small tray of cat food, he has a nose for what he likes and the athleticism to give him a fair shot at getting it. I’ve watched him eat for years, so it was upsetting to realize I don’t know what his favorite snack is, and can’t easily ask him. Fortunately for Bebop’s palate, the Bradley-Terry model gives us a way to figure out a “strength” of treat from pairwise comparisons…

Generative Artificial Intelligence creates delicious, sustainable, and nutritious burgers<br>Using burgers as a model system, the generative AI rediscovers the classic Big Mac without explicit supervision and generates novel burgers optimized for deliciousness, sustainability, or nutrition. Compared to the Big Mac, its delicious burgers score the same or better in overall liking, flavor, and texture in a blinded sensory evaluation conducted in a restaurant setting with 101 participants; its mushroom burger achieves an environmental impact score more than an order of magnitude lower; and its bean burger attains nearly twice the nutritional score. Together, these results establish generative AI as a quantitative framework for learning human taste and navigating complex trade-offs in principled food design…

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Data Science Articles & Videos

HackerRank open sourced its ATS. My resume scored 90/100. Oh wait 74/100. No — 88/100. Actually 83/100<br>How hiring is becoming a luck filter…Here a quick rundown on how the tool works: Your PDF gets parsed into text. An LLM is called six times to extract structured information — your basics, work history, education, skills, projects, awards. It pulls your GitHub profile, scans your top repos, appends them as extra context. Then everything gets fed into the LLM at once to be graded…

What is the most underrated skill every data scientist should develop? [Reddit]<br>Beyond Python, machine learning, and statistics, which skill has made the biggest difference in solving real-world data science problems and delivering business value?…

Can AI Become a Real Data Scientist? | Gaël Varoquaux on scikit-learn, Probabl & Scientific Judgment<br>In this episode of Creative Difference, Maxime Gabella speaks with Gaël Varoquaux, co-founder of scikit-learn and Probabl, about the future of AI, statistical learning, and scientific judgment. They discuss the difference between generative AI and statistical machine learning, why current AI agents can write code but still struggle with rigorous data analysis, and why tools like scikit-learn and Skore may become essential for trustworthy AI systems. The conversation explores memorization, generalization, uncertainty, data leakage, evaluation, human-in-the-loop science, and the role of a “statistical harness” for AI agents. It also moves into deeper questions: why real-world science is harder than mathematics, why data collection and intervention still matter, how categories shape reality, and what creativity means for humans and machines…

Vibe Coding vs. Vibe Engineering: How Systems Scale Without Collapsing<br>What is the difference between vibe coding and vibe engineering? Learn how modern software teams evolve from rapid experimentation to enterprise-grade systems without drowning in technical debt or sliding into technical bankruptcy…

Why Adjusted Regression Coefficients Are Less Descriptive Than They Look<br>It is common for researchers to investigate “factors associated with” an outcome by collecting many candidate variables, entering them together into one multivariable regression, and reporting the ones whose mutually-adjusted coefficients reach significance (Lewer et al., 2025). In this interactive article I explain why that practice misleads — not because of the usual problems of...