Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and decision-making systems across industries. Modern RL ...

This is a demo project for applying the concepts of federated learning (FL) in Python using socket programming by building and training machine learning (ML) models using FL. The ML model is trained ...

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In some ways, Java was the key language for machine learning and AI before Python stole its crown. Important pieces of the data science ecosystem, like Apache Spark, started out in the Java universe.

Community driven content discussing all aspects of software development from DevOps to design patterns. Ready to develop your first AWS Lambda function in Python? It really couldn’t be easier. The AWS ...

Thinking about learning Python? It’s a pretty popular language these days, and for good reason. It’s not super complicated, which is nice if you’re just starting out. We’ve put together a guide that ...

When reviewing job growth and salary information, it’s important to remember that actual numbers can vary due to many different factors—like years of experience in the role, industry of employment, ...