You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: docs/src/using-turing/quick-start.md
+2-2Lines changed: 2 additions & 2 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -4,13 +4,13 @@ title: Probablistic Programming in Thirty Seconds
4
4
5
5
# Probablistic Programming in Thirty Seconds
6
6
7
-
If you are already well-versed in probabalistic programming and just want to take a quick look at how Turing's syntax works or otherwise just want a model to start with, we have provided a Bayesian coin-flipping model to play with.
7
+
If you are already well-versed in probabilistic programming and just want to take a quick look at how Turing's syntax works or otherwise just want a model to start with, we have provided a Bayesian coin-flipping model to play with.
8
8
9
9
10
10
This example can be run on however you have Julia installed (see [Getting Started]({{site.baseurl}}/docs/using-turing/get-started)), but you will need to install the packages `Turing` and `StatsPlots` if you have not done so already.
11
11
12
12
13
-
This is an excerpt from a more formal example introducing probabalistic programming which can be found in Jupyter notebook form [here](https://nbviewer.jupyter.org/github/TuringLang/TuringTutorials/blob/master/0_Introduction.ipynb) or as part of the documentation website [here]({{site.baseurl}}/tutorials).
13
+
This is an excerpt from a more formal example introducing probabilistic programming which can be found in Jupyter notebook form [here](https://nbviewer.jupyter.org/github/TuringLang/TuringTutorials/blob/master/0_Introduction.ipynb) or as part of the documentation website [here]({{site.baseurl}}/tutorials).
0 commit comments