Snarky(?) pure math explanation of supervised machine learning:
Grid Search no more!
Here is a very nice illustration from Bergstra & Bengio (2012) why Random Search is often superior to Grid Search for purposes of parameter choice -- Random Search gives by far the better approximations to the important univariate parameter distributions.
Hello! I see everyone doing one, so here's my #introduction
I'm a Data Analyst working at a smallish health center. I have a masters in #publichealth and another in #philosophy . Most of my work in philosophy was on process philosophy & A.N. Whitehead, and most of my work in public health is on #dataanalysis and #substanceabuse , specifically #opioid use.
Scholar Social is a microblogging platform for researchers, grad students, librarians, archivists, undergrads, academically inclined high schoolers, educators of all levels, journal editors, research assistants, professors, administrators—anyone involved in academia who is willing to engage with others respectfully.
We strive to be a safe space for queer people and other minorities, recognizing that there can only be academic freedom where the existence and validity of interlocutors' identities is taken as axiomatic.
"An academic microblog that you can be proud to put on the last slide of a presentation at a conference"
(Participation is, of course, optional)
Scholar Social features a monthly "official" journal club, in which we try to read and comment on a paper of interest.
Any user of Scholar Social can suggest an article by sending the DOI by direct message to @firstname.lastname@example.org and one will be chosen by random lottery on the last day of the month. We ask that you only submit articles that are from *outside* your own field of study to try to ensure that the papers we read are accessible and interesting to non-experts.