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How to Build Your First AI Model: A Comprehensive Guide

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This comprehensive guide on how to build your first AI model covers everything from understanding AI basics to deployment. With a step-by-step approach, it guides beginners through defining the problem, collecting data, selecting an algorithm, training, evaluating, tuning the model, and finally deploying it. The blog emphasizes the importance of continuous learning and experimentation in AI.

  • AI can be Narrow or General.
  • ML is a subset of AI.
  • DL uses neural networks.
  • Data is AI's backbone.
  • Continuous learning is key.