Libros recomendados

Libros recomendados

Lista tomada de un tweet de Omar Sanseviero @osanseviero, transcrita por Gabriela Zuñiga.

💡 📚 11 Libros recomendados

🧠Fundamentos

  1. Deep Learning: Foundations and Concepts (Bishop & Bishop, 2023)
  2. Mathematics for Machine Learning (Deisenroth, Faisal, Ong, 2020)
  3. Probabilistic Machine Learning (Murphy, 2012-2023)
  4. Linear Algebra and Learning from Data (Stang, 2019)

💻Practica

  1. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd Edition (Géron, 2022)
  2. Dive into Deep Learning (Zhang et al., 2023)
  3. Designing Machine Learning Systems (Huyen, 2022)

🤗LLMs

  1. Natural Language Processing with Transformers, Revised Edition (Tunstall, von Werra, Wolf, 2023)
  2. Hands-On Large Language Models (Alammar and Grootendorst, 2024 - WIP)

🎉IA Generativa

  1. Generative Deep Learning, 2nd Edition (Foster, 2023)
  2. Hands-On Generative AI with Transformers and Diffusion Models (Cuenca et al., 2024 - WIP)