linkstream2 microblog

Inferring… #Networks Using Probabilistic Graphical Models. Nice intro to #Bayesian methods, useful for #teaching
http://www.sciencemag.org/content/303/5659/799.abs

MT @KirkDBorne @analyticbridge 18 Courses from Stanford, Wharton, Duke, Berkeley… #DataScience #Analytics http://bit.ly/1ixpizD #teaching

http://www.analyticbridge.com/group/analyticscourses/forum/topics/18-courses-from-stanford-wharton-duke-berkeley

http://www.rhul.ac.uk/computerscience/prospectivestudents/postgraduatetaught/bigdata.aspx

Degree Where #Techie Meets #Business Smarts
http://www.nytimes.com/2014/03/18/education/a-degree-where-techie-meets-business-smarts.html QT: Now we’re called technicians. With a masters we’re called scientists.

What is a support vector machine? A nice overview w/o equations, just pictures. Great for #teaching!
http://www.nature.com/nbt/journal/v24/n12/abs/nbt1206-1565.html #SVM .@GenomeNathan YES, but see
http://noble.gs.washington.edu/papers/noble_what.html …, which has an expanded, “free” version.
http://noble.gs.washington.edu/papers/noble_what.html
http://www.nature.com/nbt/journal/v24/n12/abs/nbt1206-1565.html

http://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.html

http://scikit-learn.org/dev/

Might be good for course slides!

MT @sjackman @anshul
http://scikit-learn.org/stable/tutorial/machine_learning_map … is useful for #teaching, providing students a practical way to wade through all the approaches

Great primer on network theory MT @russskinner PRISM… analysis: Paul Revere identified by his connections to others http://bit.ly/11DK8R9
http://www.slate.com/articles/health_and_science/science/2013/06/prism_metadata_analysis_paul_revere_identified_by_his_connections_to_other.single.html

http://www.technologyreview.com/featuredstory/429376/the-crisis-in-higher-education/

http://www.yaledailynews.com/news/2012/sep/11/blurring-cheating-collaboration/ Useful to keep in mind when assigning collaborative projects