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Why Gradient Descent Became Stochastic: The Evolution of Optimization in Machine Learning
Classic Gradient Descent is no longer sufficient for training AI models on large datasets. Stochastic Gradient Descent (SGD) has become the industry standard due to its efficiency, scalability, and superior performance. The choice of optimization method directly influences the success of modern Machine Learning projects.
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3D Segmentation of Medical Images with MONAI and UNet: A Practical Guide for Volumetric Analysis in Python
3D segmentation of medical images with MONAI and UNet enables automated volumetric analysis, increasing diagnostic accuracy and clinical efficiency. The article presents practical steps for implementing a complete CT segmentation pipeline in Python, from preprocessing to evaluation. It is a valuable resource for professionals and managers interested in medical AI.
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