Artificial Intelligence, Machine Learning, Computer Vision, Autism Research, Gamification, Behavioral Science, Data Science Andrew Brindle Artificial Intelligence, Machine Learning, Computer Vision, Autism Research, Gamification, Behavioral Science, Data Science Andrew Brindle

We used a game, a webcam, and AI to track visual attention—here’s what we discovered

How a simple game and a laptop webcam helped us train AI to track gaze patterns—and uncover insights into visual attention in children with ASD.

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Machine Learning, Artificial Intelligence, Data Science, ML Model Optimization, Algorithms and Models, Techniques in Machine Learning, AI/ML Best Practices, Training and Evaluation Andrew Brindle Machine Learning, Artificial Intelligence, Data Science, ML Model Optimization, Algorithms and Models, Techniques in Machine Learning, AI/ML Best Practices, Training and Evaluation Andrew Brindle

Overfitting vs. Underfitting in Machine Learning: How to Find the Right Balance

Overfitting and underfitting are two of the biggest challenges in machine learning. One leads to a model that memorizes data but fails in the real world, while the other results in a model too weak to capture meaningful patterns. In this guide, we’ll break down both problems, show you how to spot them, and—most importantly—how to fix them!

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