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Machine Learning vs Deep Learning, a simples guide

  • Artificial Intelligence (AI) encompasses various fields, including image analysis, text processing, and more. The computer processes data and learns to identify patterns, make decisions, and interact with humans.
  • Machine Learning (ML) is a subset of AI that uses data to analyze patterns, adjust internal parameters, and make predictions without explicit programming.
  • Deep Learning (DL) is a subfield of ML that relies on deep artificial neural networks to learn complex data representations. It is used in computer vision, natural language processing, and speech recognition.
  • Neural networks (NN) are structures inspired by the human brain, consisting of layers of neurons. DL uses neural networks with multiple layers.

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