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Image Recognition in AI: How It Works

ai, AI (Artificial Intelligence), AI image recognition, Artificial Intelligence, Computer vision, convolutional neural networks, deep learning, Facial recognition, image classification, image recognition, image segmentation, neural networks, object detection, vision transformers

Why it matters: How does image recognition work? See the full pipeline from pixels to predictions, real accuracy data, top uses, and the risks every team should know.

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The afterparty: Hyperparameter autotuning revisited

Artificial Intelligence, Cross-Validation, deep learning, Higgs boson, Hyperparameter Tuning, Machine Learning, model interpretability, model optimization, neural networks, SAS Viya Workbench, Tech

In my first article on hyperparameter autotuning, I used a cake analogy to show how to use hyperparameter autotuning with Optuna and the sasviya.ml package in Python to improve detecting Higgs bosons in a particle accelerator. SAS Viya Workbench now supports hyperparameter autotuning in SAS code with a variety of […] The post The afterparty:

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