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Markov refers to a statistical model, particularly Markov chains, where the probability of each event depends only on the state attained in the previous event, widely used in various fields for predictive analysis.
The article Towards Data Science by Shailey Dash explores the Markov Decision Process (MDP), which forms the theoretical foundation of reinforcement learning problems. It delves into the stochastic theory underlying MDPs, which is crucial for understanding reinforcement learning (RL) in both theory and practice. Understanding the Markov Decision Model in […]
Cuneiform, one of the earliest writing systems dating back to 3400 BC, has been challenging for translators due to its complexity and age. However, a groundbreaking development in artificial intelligence (AI) has made it possible to translate texts written in cuneiform, specifically in the Akkadian language, into English. This advancement […]
In the late 1960s, Bell Laboratories computer scientists Dennis Ritchie and Ken Thompson started work on a project inspired by an operating system called Multics, a joint project of MIT, GE, and Bell Labs. The host and narrator of this film, Victor Vyssotsky, also worked on the Multics project. Ritchie […]