5 Typos Updated lecture5-regularization.ipynb

aml-book/contents/lecture5-regularization.ipynb

@@ -446,7 +446,7 @@
     }
    },
    "source": [
-    "Let's look at this via an example. Below, we are generating a separate held out dataset from the same data generating process (represented via red dots on the figures). We fit three different models (the orange curves) to our training set (the blue dots), and observe their performance."
+    "Let's look at this via an example. Below, we are generating a separate holdout dataset from the same data-generating process (represented via red dots on the figures). We fit three different models (the orange curves) to our training set (the blue dots), and observe their performance."
    ]
   },
   {
@@ -671,7 +671,7 @@
     }
    },
    "source": [
-    "__Example__: Flipping a coin. Each flip has same probability of heads & tails and doesn't depend on previous flips."
+    "__Example__: Flipping a coin. Each flip has the same probability of heads & tails and doesn't depend on previous flips."
    ]
   },
   {
@@ -897,7 +897,7 @@
     }
    },
    "source": [
-    "Let's also genenerate a holdout dataset."
+    "Let's also generate a holdout dataset."
    ]
   },
   {
@@ -1195,7 +1195,7 @@
     "\n",
     "Recall that overfitting is one of the most common failure modes of machine learning.\n",
     "* A very expressive model (a high degree polynomial) fits the training dataset perfectly.\n",
-    "* The model also makes wildly incorrect prediction outside this dataset, and doesn't generalize."
+    "* The model also makes wildly incorrect predictions outside this dataset, and doesn't generalize."
    ]
   },
   {
@@ -1256,7 +1256,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In this example, the polynomial passes through every training set points, but its fit is very bad outside the small training set."
+    "In this example, the polynomial passes through every training set point, but its fit is very bad outside the small training set."
    ]
   },
   {