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Markov Decision Processes (MDPs) are a mathematical framework used to model decision-making in situations where outcomes are partly random and partly under the control of an agent. An MDP provides a formalism for modeling sequential decision problems, where an agent interacts with an environment in discrete time steps.
Recurrent Neural Networks (RNNs) are a class of artificial neural networks designed to make predictions on sequential data analysis by utilizing a powerful memory-based architecture.
Unlike traditional Feedforward Neural Networks, where the output depends solely on the current input, Recurrent Neural Networks (RNNs) take into account previous states.
Deploying applications efficiently and reliably is a crucial step for development teams, especially when working with complex environments or multiple stages of deployment, such as dev, staging, and prod. Jenkins, a popular open-source automation server, has become a staple in continuous integration (CI) and continuous deployment (CD) pipelines, helping teams streamline and automate the deployment process. In this article, we’ll explore Jenkins deployment, its architecture, best practices, and how to set up a deployment pipeline.
Zero Trust Architecture represents a fundamental shift in cybersecurity strategy, prioritizing the assumption that threats can exist both outside and inside a network. The core principle is to “never trust, always verify.” This approach ensures that every request, whether it originates from within or outside the network, is authenticated, authorized, and encrypted before access is granted.
