#neurohackademy — Public Fediverse posts

Just in case someone out here finds it useful, here's a link to my #ML for #Neuroscience exercise booklet (made with #JupyterBook ):

https://zvibaratz.github.io/ml_for_neuro/chapters/chapter_01/exercise_01.html

It's probably my last year TAing the class, and I haven't updated it in a while, but there are a couple of (hopefully) useful tutorials in there; particularly exercises V and VI, plagiarized (I mean adapted) from bits of the ISLR and an incredible workshop given by @[email protected] on #NeuroHackademy 2020 (see https://github.com/neurohackademy/nh2020-curriculum/tree/master/tu-machine-learning-yarkoni).

Just in case someone out here finds it useful, here's a link to my #ML for #Neuroscience exercise booklet (made with #JupyterBook ):

https://zvibaratz.github.io/ml_for_neuro/chapters/chapter_01/exercise_01.html

It's probably my last year TAing the class, and I haven't updated it in a while, but there are a couple of (hopefully) useful tutorials in there; particularly exercises V and VI, plagiarized (I mean adapted) from bits of the ISLR and an incredible workshop given by @talyarkoni on #NeuroHackademy 2020 (see https://github.com/neurohackademy/nh2020-curriculum/tree/master/tu-machine-learning-yarkoni).

Just in case someone out here finds it useful, here's a link to my #ML for #Neuroscience exercise booklet (made with #JupyterBook ):

https://zvibaratz.github.io/ml_for_neuro/chapters/chapter_01/exercise_01.html

It's probably my last year TAing the class, and I haven't updated it in a while, but there are a couple of (hopefully) useful tutorials in there; particularly exercises V and VI, plagiarized (I mean adapted) from bits of the ISLR and an incredible workshop given by @talyarkoni on #NeuroHackademy 2020 (see https://github.com/neurohackademy/nh2020-curriculum/tree/master/tu-machine-learning-yarkoni).

Just in case someone out here finds it useful, here's a link to my #ML for #Neuroscience exercise booklet (made with #JupyterBook ):

https://zvibaratz.github.io/ml_for_neuro/chapters/chapter_01/exercise_01.html

It's probably my last year TAing the class, and I haven't updated it in a while, but there are a couple of (hopefully) useful tutorials in there; particularly exercises V and VI, plagiarized (I mean adapted) from bits of the ISLR and an incredible workshop given by @talyarkoni on #NeuroHackademy 2020 (see https://github.com/neurohackademy/nh2020-curriculum/tree/master/tu-machine-learning-yarkoni).

Just in case someone out here finds it useful, here's a link to my #ML for #Neuroscience exercise booklet (made with #JupyterBook ):

https://zvibaratz.github.io/ml_for_neuro/chapters/chapter_01/exercise_01.html

It's probably my last year TAing the class, and I haven't updated it in a while, but there are a couple of (hopefully) useful tutorials in there; particularly exercises V and VI, plagiarized (I mean adapted) from bits of the ISLR and an incredible workshop given by @talyarkoni on #NeuroHackademy 2020 (see https://github.com/neurohackademy/nh2020-curriculum/tree/master/tu-machine-learning-yarkoni).