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

Google Colab, also known as Colaboratory, is a free online tool from Google that lets you write and run Python code directly in your browser. It works like Jupyter Notebook but without the hassle of ...

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 ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

Google Colab is a really handy tool for anyone working with machine learning and data stuff. It’s free, it runs in the cloud, and it lets you use Python without a lot of fuss. Whether you’re just ...

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...

Photo courtesy of Kajima. The program will offer startups access to testbeds, funding, and a path to commercialization through real-world trials and regulatory integration. The GEAR by Kajima ...

In this tutorial, we’ll build a fully functional Retrieval-Augmented Generation (RAG) pipeline using open-source tools that run seamlessly on Google Colab. First, we will look into how to set up ...

In any Tkinter program, the first thing you need is a window. This window will act as a container for your app. This line brings the Tkinter library into your program. We give it the nickname tk so we ...

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