Explores quantum random number generation, discussing the challenges and implementations of generating good randomness using quantum devices.
Explores the concept of entropy expressed in bits and its relation to probability distributions, focusing on information gain and loss in various scenarios.
Explores distributed randomness using Drand, covering cryptographic tools, key exchange, elliptic curve cryptography, and practical applications in blockchain systems.
Introduces the basics of data science, covering decision trees, machine learning advancements, and deep reinforcement learning.
