python machine-learning statistics numpy linear-regression linear-algebra probability jupyter-notebook ml pandas python3 stanford logistic-regression perceptron from-scratch andrew-ng stanford-machine ...

Python is a high-level, versatile programming language known for its readability and simplicity. It has a vast community and is widely used in various fields, including web development, data science, ...

It is well believed that machine learning models could help to predict the formation energies of materials if all elemental and crystal structural details are known. In this paper, it is shown that ...

Machine Learning Operations (MLOps) is an approach to managing the entire lifecycle of a machine learning model. It has evolved over the last years and has started attracting many people in research ...

This paper implements the human multi-robot collaboration using virtual reality and machine learning approaches. Leader-follower formation control is considered to be a robot collaboration. Virtual ...

Researchers have demonstrated that brain cells learn faster and carry out complex networking more effectively than machine learning by comparing how both a Synthetic Biological Intelligence (SBI) ...