Multiclass Classification on Highly Imbalanced Dataset
Multiclass classification is a classification problem where more than two classes are present. It is a fundamental machine learning task which aims to classify each instance into one of a predefined set of classes. For instance, classifying a set of images of animals as dogs, cats or rabbits. Each sample is assigned to only one label, i.e., an image can…
TensorFlow vs PyTorch in 2026
PyTorch and TensorFlow are currently the most used libraries for machine learning in 2026. In this article, the comparison is presented: TensorFlow Vs. PyTorch in 2026. What is PyTorch? PyTorch is a new deep learning framework built on Torch. It was created by Facebook's AI research team and released on GitHub in 2017. It is used for natural language processing…
A Look at How AI Is Helping Clinicians Summarize Sessions and Identify Key Themes
Artificial intelligence is steadily becoming an essential support tool for clinicians who manage large volumes of documentation, session notes, and patient insights. As healthcare organizations continue to face rising demands for efficiency and accuracy, many are turning to AI systems that can help streamline administrative work and improve the clarity of clinical narratives. These technologies are not intended to replace…
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Why Legacy Infrastructure Is Blocking AI Ready System Evolution
The AI Readiness Myth Artificial intelligence is often presented as an inevitable…
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Sandeep Kumar is the Founder & CEO of Aitude, a leading AI tools, research, and tutorial platform dedicated to empowering learners, researchers, and innovators. Under...
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