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

Abhishek Gunjan’s journey from early setbacks as a law aspirant to building Law Prep Tutorial Patna highlights how discipline, patience and long-term vision are key to successfully scaling an ...

I have applied this technique in a few previous videos. You can change the wire length and diameter to suit your materials and purposes Combine stones as you like 🔆 materials I used : beads : 6mm ( ...

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 ...

In this video tutorial, researchers demonstrate how pretrain grounded text generated (GTG) model can be finetuned and adapted to a specific task using conversation learner, a pretraining, finetuning ...

There’s a lot to know about search intent, from using deep learning to infer search intent by classifying text and breaking down SERP titles using Natural Language Processing (NLP) techniques, to ...

In this tutorial, we’ll explore how to create and customize a Tkinter window in Python. You’ll learn how to change the window’s title, resize it, set transparency, modify the stacking order, and even ...

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 ...

Building reliable code, optimizing complex systems, and keeping things running smoothly. Always learning, always shipping. Big fan of clean design, clear logic, and a good challenge.