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 is a primal movement beginner video where I demonstrate some simple movements and a flow you can use to start natural movement training. The first part is a tutorial of various positions and ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

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 ...

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 ...

Learning Python often begins with a simple yet powerful exercise: printing “Hello, World!” to the screen. This one-liner doesn’t just display text—it’s your first step toward mastering Python ...

The choice between PyTorch and TensorFlow remains one of the most debated decisions in AI development. Both frameworks have evolved dramatically since their inception, converging in some areas while ...

Have you ever felt overwhelmed by the sheer number of repetitive tasks in your daily routine? From managing emails to updating spreadsheets, these small but time-consuming activities can quickly pile ...

ABSTRACT: The flow of electrically conducting fluids is vital in engineering applications such as Magneto-hydro-dynamic (MHD) generators, Fusion reactors, cooling systems, and Geo-physics. In this ...