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Academia Aura

Sección 1 · Fundamentos

IA, aprendizaje automático y deep learning

La IA es el campo general. El ML aprende patrones de los datos y el deep learning emplea redes neuronales en capas. Un producto útil es un sistema mayor alrededor del modelo.

Principiante20 minutos

Al terminar podrás

  • Distinguish AI, machine learning, deep learning, a model and a complete system.
  • Recognize supervised, self-supervised and reinforcement learning.
  • Choose a baseline before reaching for a large model.

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Concept 1 / 5

AI is a field, not one technology

AI includes rules, search, planning, optimization, probabilistic methods, machine learning and hybrids. The simplest adequate method is often the most reliable.

Confusiones frecuentes

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  • Calling every automation “AI” hides whether the system follows rules, searches, predicts or learns.
  • A benchmark score does not guarantee performance on your users, language, data or failure modes.
  • AGI and ASI are debated capability goals, not proven properties of current general-purpose models.

Palabras clave

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  • AI
  • algorithm
  • model
  • data
  • parameter
  • training
  • loss
  • gradient
  • generalization
  • overfitting

Fuentes primarias y oficiales

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Deep Learning bookOpen reference by Goodfellow, Bengio and Courville on machine learning and deep learning foundations.NIST AI Risk Management FrameworkAuthoritative framework for governing, mapping, measuring and managing AI risks.
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