diff --git a/01_introduction.ipynb b/01_introduction.ipynb
index fcde42edd356778ba69d6a9ed60fda95cdc14e5d..df4606913013ea1281ebf42f3023ef337da23707 100644
--- a/01_introduction.ipynb
+++ b/01_introduction.ipynb
@@ -212,11 +212,11 @@
     "- Models that learn from data usually come with inherent uncertainty.\n",
     "\n",
     "\n",
-    "## About parameters / hyper-parameters\n",
+    "## Parameters / hyperparameters\n",
     "\n",
-    "A machine-learning method usualy adapts *(internal) parameters* to the training data set during learning. But such algorithms can also be adjusted how they work. These adjustments are so called *hyper parameters*. To summarize:\n",
+    "A machine-learning algorithm usually adapts *(internal) parameters* to the training data set during learning. But the working of such algorithms can also be adjusted by changing the so-called *hyperparameters*. To summarize:\n",
     "\n",
-    "- *parameters* is what a ML algorithm learns from training data\n",
+    "- *parameters* are what an ML algorithm learns from training data.\n",
     "- *hyper parameters* control **how** an ML algorithm learns."
    ]
   },
@@ -1878,7 +1878,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.4"
+   "version": "3.8.0"
   },
   "latex_envs": {
    "LaTeX_envs_menu_present": true,