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Active Learning Strategies for Labeling Efficiency: Smarter Sample Selection for Manual Annotation

Manual annotation is one of the most expensive and time-consuming steps in building machine learning systems. Whether you are tagging customer emails, classifying medical...

 Intelligence at the Edge: Computing Where Life Happens

Imagine a city where every streetlight, door, appliance, and vehicle has its own tiny librarian. Not a robot librarian, but a quiet, invisible mind...

Environment Promotion: Using the Pipeline to Migrate Infrastructure Between Development, Staging, and Production

Introduction: The Railway of Modern Software Delivery Imagine the entire software delivery process as a high-speed railway system. The development environment is where engineers lay...

Data Waste Management: Dealing with Redundant or Toxic Data

Managing data today feels similar to maintaining a vast ecological reserve. Each dataset behaves like a living species with its own traits, behaviours and...

The Multi-Armed Bandit Problem: Balancing Exploration and Exploitation in AI Decision-Making

Imagine walking into a casino filled with slot machines—each machine (or “arm”) offers an unknown probability of payout. You have a limited number of...

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