Understand how this artificial intelligence is revolutionizing the concept of what an autonomous agent can do (and what risks ...

This course is a quick tutorial on Matplotlib, a Python library for drawing 2D and 3D graphics. It is designed to get you started with Matplotlib quickly. 1 📖 🟢 Your First Matplotlib Lab Beginner ...

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 how to convert any decimal into a fraction using Python in a simple and accurate way. This quick tutorial shows an efficient method using built-in Python tools—perfect for beginners, students, ...

The dataset is already organized in YOLO format in the steel_dataset/ directory. If you need to reorganize from original format, see utility/reorganize_dataset.py. steel-defect-detection/ ├── ...

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.

The US has 'escalation dominance' in a debt war: Europe would face a violent market crash if it dumps Treasuries Scientists reveal winter habit that may be killing thousands each year Air Force One ...