diff --git a/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb b/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb
index ee2fd48..1e05a1a 100644
--- a/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb
+++ b/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb
@@ -4,7 +4,7 @@
   "metadata": {
     "colab": {
       "provenance": [],
-      "authorship_tag": "ABX9TyOsg2s5izHB6NECgiGlYIBb",
+      "authorship_tag": "ABX9TyOJeBMhN9fXO8UepZ4+Pbg6",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -306,7 +306,7 @@
       "source": [
         "# Return the negative log likelihood of the data under the model\n",
         "def compute_negative_log_likelihood(y_train, mu, sigma):\n",
-        "  # TODO -- compute the negative log likelihood of the data without using aproduct\n",
+        "  # TODO -- compute the negative log likelihood of the data without using a product\n",
         "  # In other words, compute minus one times the sum of the log probabilities\n",
         "  # Equation 5.4 in the notes\n",
         "  # You will need np.sum(), np.log()\n",