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

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

The samples failed - What number do you want me try again and do tutorials (part 1) Before recording a video tutorial, I had to try that pattern several times until it was satisfied. Apart from ...

So far, running LLMs has required a large amount of computing resources, mainly GPUs. Running locally, a simple prompt with a typical LLM takes on an average Mac ...

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On Thursday, at the end of Coinbase’s third-quarter earnings call, CEO Brian Armstrong admitted that he was “a little bit distracted,” because he’d been “tracking the prediction market about what ...

Every election season, mayors and governors step before cameras to boast that crime is down. Charts are waved, statistics cited and carefully crafted talking points deployed to assure anxious citizens ...

Every election season, mayors and governors step before cameras to boast that crime is down. Charts are waved, statistics cited, and carefully crafted talking points deployed to assure anxious ...

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 ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...