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

This three-day course is designed for researchers, students, and professionals more broadly, and equips participants with the skills to analyse text at scale using quantitative methods, machine ...

Python NLP makes text summarization faster and easier for large documents. Extractive methods are more accurate, while abstractive methods are more readable. Hybrid summarization reduces errors and ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

If you’d like an LLM to act more like a partner than a tool, Databot is an experimental alternative to querychat that also works in both R and Python. Databot is designed to analyze data you’ve ...

In this tutorial, you will build a simple echo A2A server using Python. This barebones implementation will show you all the features A2A has to offer. Following this tutorial, you will be able to add ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Have you ever found yourself wrestling with Excel formulas, wishing for a more powerful tool to handle your data? Or maybe you’ve heard the buzz about Python in Excel and wondered if it’s truly the ...

What if you could turn Excel into a powerhouse for advanced data analysis and automation in just a few clicks? Imagine effortlessly cleaning messy datasets, running complex calculations, or generating ...

Tomorrow, we’ll build a full Rich Text Editor with bold, italic, font styles, colors, links—you name it. But first, let’s master the basics.