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The Mechanics of AI: Data, Algorithms, and Training - AI Basics: The Fundamentals

Updated: May 1


Mechanics of AI: Data, Algorithms, and Training - AI Basics: The Fundamentals


In this episode of AI Ed: From Bits to Breakthroughs, we dive into the mechanics behind how AI systems are built and trained. Join Kelly 1.0, one of the AI-generated avatars at newbits.ai, as we break down the three essential components of AI: data, algorithms, and training.


What’s Inside:


  • Data: The Fuel of AI: Understand how AI systems rely on vast amounts of high-quality data to identify patterns, make decisions, and improve over time.

  • Algorithms: The Brains of AI: Learn about three common AI algorithms—decision trees, neural networks, and K-nearest neighbors (KNN)—and how they power everything from medical diagnostics to facial recognition and recommendation systems.

  • Training: How AI Learns: Explore how AI systems are trained using supervised, unsupervised, and reinforcement learning, and how they continually improve through trial and error.


Why Watch?


  • Discover the Core Mechanics of AI: A perfect introduction to the foundational elements that drive AI’s performance and potential.

  • Real-World Examples: Gain insight into how AI training and algorithms are applied in everyday tools like facial recognition, self-driving cars, and recommendation systems.



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