dr_domi/udlbook
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

Created using Colab

Browse Source
This commit is contained in:
udlbook
2025-01-29 10:29:54 -05:00
parent 653d2f7b84
commit 84a11d68ed
1 changed files with 2 additions and 6 deletions
Download Patch File Download Diff File Expand all files Collapse all files

8
Trees/LinearRegression_LossFunction_Answers.ipynb
View File

@@ -4,7 +4,7 @@
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyM2yB29boJt3bLHqTG5AUqR",
"authorship_tag": "ABX9TyOKkeAghKXCP9dP9iv7SwLO",
"include_colab_link": true
},
"kernelspec": {
@@ -42,11 +42,7 @@
"\n",
"The purpose of this Python notebook is to compute the loss and subsequently plot the loss function for the 1D linear regression model with a least squares loss.\n",
"\n",
"Work through the cells below, running each cell in turn. In various places you will see the words \"TODO\". Follow the instructions at these places and write code to complete the functions.\n",
"\n",
"You can save a local copy of this notebook in your Google account and work through it in Colab (recommended) or you can download the notebook and run it locally using Jupyter notebook or similar. If you are using CoLab, we recommend that *turn off* AI autocomplete (under cog icon in top-right corner), which will give you the answers and defeat the purpose of the exercise.\n",
"\n",
"A fully working version of this notebook with the complete answers can be found here.\n",
"You can save a local copy of this notebook in your Google account and work through it in Colab (recommended) or you can download the notebook and run it locally using Jupyter notebook or similar. \n",
"\n",
"Contact me at iclimbtreesmail@gmail.com if you find any mistakes or have any suggestions."
],