scientists

I-day streak on LinkedIn Games. Yes, LinkedIn also has games, and so they’ve been around for over a 12 months. Sometimes, I notice recent games, design tweaks, and recent features being rolled out. As...

it’s possible to totally master every topic in data science? With data science covering such a broad range of areas — statistics, programming, optimization, experimental design, data storytelling, generative AI, to call a couple...

Let’s be honest: we've all been there. It’s Friday afternoon. You’ve trained a model, validated it, and deployed the inference pipeline. The metrics look green. You close up your laptop for the weekend, and luxuriate...

Greater than 300 people across academia and industry spilled into an auditorium...

A previous article provided a of conceptual frameworks – analytical structures for representing abstract concepts and organizing data. Data scientists use such frameworks in a wide range of contexts, from use case ideation and...

As costs for diagnostic and sequencing technologies have plummeted lately, researchers have...

As data scientists, we’ve turn out to be extremely focused on constructing algorithms, causal/predictive models, and advice systems (and now genAI). We optimize for accuracy, fine-tune hyperparameters, and search for the subsequent big fancy...

Compared with conventional psychological models, which use basic math equations, Centaur did a much better job of predicting behavior. Accurate predictions of how humans respond in psychology experiments are beneficial in and of themselves:...