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

Python.Org is the official source for documentation and beginner guides. Codecademy and Coursera offer interactive courses for learning Python basics. Think Python provides a free e-book for a ...

If you’re looking for a place to start, W3Schools has a Python tutorial that’s pretty straightforward. It breaks things down ...

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 ...

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 ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

In this tutorial, we demonstrate a complete end-to-end solution to convert text into audio using an open-source text-to-speech (TTS) model available on Hugging Face ...

Python for Data Analysis/ ├── Month_1: Python Foundations and Data Manipulation │ ├── Week_1: Introduction and Environment Setup │ │ ├── Lecture/ │ │ ├── Practice/ │ │ ├── Assignments/ │ │ └── Data/ │ ...

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 ...

Microsoft has introduced text analysis features in Excel aimed at helping users derive insights from surveys, reviews, and other textual data with ease. Copilot is a new feature in Excel that can help ...