From 3dbb4b9b4a17d1f5b077a943c54a631964d5f8ca Mon Sep 17 00:00:00 2001 From: pswietojanski Date: Mon, 5 Oct 2015 09:36:51 +0100 Subject: [PATCH] 2nd lab --- 01_Linear_Models.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/01_Linear_Models.ipynb b/01_Linear_Models.ipynb index 7eea371..97fbda9 100644 --- a/01_Linear_Models.ipynb +++ b/01_Linear_Models.ipynb @@ -140,7 +140,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Note on random number generators (could move it somewhere else)\n", + "### Note on random number generators (general note)\n", "\n", "It is generally a good practice (for machine learning applications **not** cryptography!) to seed a pseudo-random number generator once at the beginning of the experiment, and use it later through the code where necesarry. This allows to avoid hard to reproduce scenariors where a particular action happens only for a particular sequence of numbers (which you cannot reproduce easily due to unknown random seeds sequence on the way!). As such, within this course we are going use a single random generator object. For instance, the one similar to the below:" ]