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 tutorials in markdown format. These tutorials look at installation on Python and Python IDEs, object orientated programming, the object orientated design pattern known as the Python data model, ...

Think you have to be a master stylist to create a polished and pretty hairstyle on your natural curls? Think again! We rounded up easy YouTube tutorials that require little effort but are big on style ...

This Python Project code implements a simple neural network built from scratch using the NumPy library to classify whether a given number is odd or even.

If you want to learn the math behind data science and machine learning, 3Blue1Brown is the channel for you. Created by Grant Sanderson, 3Blue1Brown uses animation to explain complex mathematical ...

Learn about some of the best Python libraries for programming artificial Intelligence, machine learning, and deep learning. A lot of software developers are drawn to Python due to its vast collection ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...

I like Anime, Chess, Deep Learning, Mathematics and Programming. NumPy is a Python library that is mainly used to work with arrays. An array is a collection of items that are stored next to each other ...