Quantcast
Channel: ai4hm – Healthy Algorithms
Browsing latest articles
Browse All 6 View Live

Image may be NSFW.
Clik here to view.

Quinlan stuff

To complement that ASA address about what is statistics that I read last week, here is the abstract KDD address about what is data mining:...

View Article



Image may be NSFW.
Clik here to view.

ML in Python: Decision Trees with Pandas

Doctors love decision trees, computer scientists love recursion, so maybe that’s why decision trees have been coming up so much in the Artificial Intelligence for Health Metricians class I’m teaching...

View Article

Image may be NSFW.
Clik here to view.

Interesting Q/A: some good questions about data transformation

I’m continuing my class-prep practice of searching through Cross-Validated questions with tags corresponding to upcoming class topics, and here are some interesting ones I found about data...

View Article

Image may be NSFW.
Clik here to view.

Why do we call it “ridge” regression?

Asked and answered: http://stats.stackexchange.com/a/151351/18291 With a link to more detail: http://www.itl.nist.gov/div898/handbook/pri/section3/pri336.htm

View Article

Image may be NSFW.
Clik here to view.

What was I up to two year ago?

One fun thing about keeping my lab notebook in digital form with IPython Notebooks is that I can flip through my old work so easily. Did I say fun? I meant scary, and sometimes depressing. But yes,...

View Article


Image may be NSFW.
Clik here to view.

Using the sklearn text.CountVectorizer

I have been getting some great success from the scikits-learn CountVectorizer transformations. Here are some notes on how I like to use it: import sklearn.feature_extraction ngram_range = (1,2) clf =...

View Article
Browsing latest articles
Browse All 6 View Live




Latest Images