— In the News —
Using search engine queries, Microsoft has shown that it can identify Internet users with pancreatic cancer, even before they have received a diagnosis of the disease. Google tried something along these lines with Flu predictions in 2009, which ultimately fell short. But Microsoft seems to be making broad headway with this and related efforts.
— Sponsored Link —
Periscope plugs directly into your databases and lets you run, save, and share analyses over billions of data rows in seconds.
— Tools and Techniques —
Nice writeup about how Xeneta is using a machine learning algorithm to predict the quality of its leads. Includes a good description of the problem being solved, rationale for their approach, and an evolving code repo.
Here's a set of Dockerfiles to get you up and running with a fully functional deep learning machine. It contains all the popular deep learning frameworks (TensorFlow, Theano, Torch, Caffe, etc.)
Data science companies are increasingly looking at portfolios when making hiring decisions. This article offers a thoughtful approach for creating a portfolio that companies are impressed by.
— Resources —
Curated list of tutorials, articles and other resources for Machine Learning and Deep Learning.
Simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work. Tries to keep examples as compact as possible.
— Data Viz —
Here are descriptions, common use-cases and screenshots for 10 general purpose data visualization libraries. Includes lots of helpful links.