Feature-based domain adaptation methods project samples from different domains into the same feature space and try to align the distribution of two domains to learn an effective transferable model.

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Graph of the Normal Distribution In a normal distribution, values are most concentrated around the mean, and the probability decreases smoothly as you move further away in either direction. The ...

R-convolution graph kernels are conventional methods for graph classification. They decompose graphs into substructures and aggregate all the substructure similarity as graph similarity. However, the ...

All of statistics and much of science depends on probability—an astonishing achievement, considering no one’s really sure what it is ...

Meet Graphiti: a Python library for building temporal Knowledge Graphs. Graphiti is designed specifically to manage evolving relationships over time by capturing and recording changes in facts and ...

Probability Distribution Functions package Probability Distribution Functions is a Python package to help in different kind of probability distributions for a Data Scientist. Probability distributions ...