Boring Berlin Scientist
Useful articles about Data Science, Machine Learning, Data Engineering and not only. A selection of material for learning is here https://github.com/slavadubrov/learning-material
Show more- Subscribers
- Post coverage
- ER - engagement ratio
Data loading in progress...
Data loading in progress...
A visual introduction to Precision, Recall, and the F1-score in machine learning.
Software systems are increasingly based on data, rather than code. A new class of tools and technologies have emerged to process data for both analytics and ML.
Note: This note is a work-in-progress, created for the course CS 329S: Machine Learning Systems Design (Stanford, 2022). For the fully developed text, see th...
I believe this story is familiar to everyone. You get a new MacBook and try to recall what exactly do you need there. This happened to me…
Best Practices on Recommendation Systems. Contribute to microsoft/recommenders development by creating an account on GitHub.
In two previous articles, we present an overview of the GCN and GNN networks. In our final article, we will cover their possible…
Visualizer for neural network, deep learning, and machine learning models - GitHub - lutzroeder/netron: Visualizer for neural network, deep learning, and machine learning models
Learn how to responsibly deliver value with ML. Contribute to GokuMohandas/MadeWithML development by creating an account on GitHub.
Deepfakes Software For All. Contribute to deepfakes/faceswap development by creating an account on GitHub.
A PyTorch implementation/tutorial of Graph Attention Networks.