Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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

Learn the Melanie Loop knot in this clear tutorial, featuring a double fisherman variation commonly used in arborist rigging and rope work. This setup creates a strong, compact loop that’s great for ...

Learn how to make a rugged closed loop Mad Max paracord bracelet in this fast, easy-to-follow quick tutorial. Perfect for beginners or anyone wanting a stylish and durable DIY paracord bracelet in ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

So, you want to learn Python? That’s cool. A lot of people are getting into it these days because it’s used for all sorts of things, from building websites to analyzing data. If you’re looking for a ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.