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  • Sách/Book

  • Machine Learning with Quantum Computers

    • Authors: Maria Schuld (2021)

  • This book offers an introduction into quantum machine learning research, covering approaches that range from "near-term" to fault-tolerant quantum machine learning algorithms, and from theoretical to practical techniques that help us understand how quantum computers can learn from data.
  • Sách/Book

  • Grokking Deep Reinforcement Learning

    • Authors: Miguel Morales (2021)

  • This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment.