I’ve started to collect a set of links of useful data science resources below.
If there are any further ones you’d like to suggest, please drop me a note!
AutoML
Using Machine Learning to Explore Neural Network Architecture
OpenML
AutoML Challenge
AutoML 2017 Tutorial @ ECML-PKDD
Lectures
Harvard CSCI E-109 Data Science lectures from 2013
Stanford: Andrew Ng’s Machine Learning lectures
INSEAD Course: Data Analytics for Business
Other training
NUS Centre for Health Informatics
DataCamp
42 steps to mastering data science
Data sources
Tools
Books / Articles
The Fourth Paradigm: Data-Intensive Scientific Discovery
Domingos, P: A Few Useful Things to Know about Machine Learning
Mackay: Information Theory, Inference, and Learning Algorithms
Probabilistic Programming and Bayesian Methods for Hackers
A practical introduction to Data Science
Not really related to Data Science, but a great list nevertheless: