Sep
2015 Oct Software
All (105) | Courses, Education (17) | Meetings (8) | News, Features (19) | Opinions, Interviews, Reports (30) | Publications (7) | Software (2) | Top Tweets (4) | Tutorials, Overviews, How-Tos (11) | Webcasts (7)
- Introducing: Blocks and Fuel – Frameworks for Deep Learning in Python
- Oct 26, 2015.
Blocks and Fuel are machine learning frameworks for Python developed by the Montreal Institute of Learning Algorithms (MILA) at the University of Montreal. Blocks is built upon Theano (also by MILA) and allows for rapid prototyping of neural network models. Fuel serves as a data processing pipeline and data interface for Blocks.
- R vs Python: head to head data analysis
- Oct 13, 2015.
The epic battle between R vs Python goes on. Here we are comparing both of them in terms of generic tasks of data scientist’s like reading CSV, finding data summary, PCA, model building, plotting, and many more.
Netflix’s Polynote is a New Open Source Framework to Build Better Data Science Notebooks