Jim O’ Donoghue (4)
- How Data Science Predicts and Reduces Adverse Birth Outcomes - Jan 6, 2016.
Here we look at project from Chicago University’s Data Science for Social Good (DSSG) Program on Predicting and Reducing Adverse Birth Outcomes.
- How Data Science reduces maternal mortality in Mexico - Jan 5, 2016.
Here we look at another project from Chicago University’s Data Science for Social Good (DSSG) Program which helps make the world a better place.
- How Data Science saves lives and helps combat obesity - Jan 4, 2016.
We look at projects from Chicago University Data Science for Social Good (DSSG) Program which help make the world a better place, and in particular at measure to help predict obesity.
- 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.