fix typo

lamberta · lamberta · commit 5a060b4f195b · 2018-03-30T08:30:15.000-07:00
diff --git a/samples/core/get_started/eager.ipynb b/samples/core/get_started/eager.ipynb
@@ -741,9 +741,9 @@
       "source": [
         "### Setup the test dataset\n",
         "\n",
-        "Evaluating the model is similiar to training the model. The biggest difference is the examples come from a separate *[test set](https://developers.google.com/machine-learning/crash-course/glossary#test_set)* rather than the training set. To fairly assess a model's effectiveness, the examples used to evaluate a model must be different from the examples used to train the model.\n",
+        "Evaluating the model is similar to training the model. The biggest difference is the examples come from a separate *[test set](https://developers.google.com/machine-learning/crash-course/glossary#test_set)* rather than the training set. To fairly assess a model's effectiveness, the examples used to evaluate a model must be different from the examples used to train the model.\n",
         "\n",
-        "The setup for the test `Dataset` is similiar to the setup for training `Dataset`. Download the CSV text file and parse that values, then give it a little shuffle:"
+        "The setup for the test `Dataset` is similar to the setup for training `Dataset`. Download the CSV text file and parse that values, then give it a little shuffle:"
       ]
     },
     {

Original file line number	Diff line number	Diff line change
`@@ -741,9 +741,9 @@`
`741`	`741`	`"source": [`
`742`	`742`	`"### Setup the test dataset\n",`
`743`	`743`	`"\n",`
`744`		`- "Evaluating the model is similiar to training the model. The biggest difference is the examples come from a separate [test set](https://developers.google.com/machine-learning/crash-course/glossary#test_set) rather than the training set. To fairly assess a model's effectiveness, the examples used to evaluate a model must be different from the examples used to train the model.\n",`
	`744`	`+ "Evaluating the model is similar to training the model. The biggest difference is the examples come from a separate [test set](https://developers.google.com/machine-learning/crash-course/glossary#test_set) rather than the training set. To fairly assess a model's effectiveness, the examples used to evaluate a model must be different from the examples used to train the model.\n",`
`745`	`745`	`"\n",`
`746`		- "The setup for the test `Dataset` is similiar to the setup for training `Dataset`. Download the CSV text file and parse that values, then give it a little shuffle:"
	`746`	+ "The setup for the test `Dataset` is similar to the setup for training `Dataset`. Download the CSV text file and parse that values, then give it a little shuffle:"
`747`	`747`	`]`
`748`	`748`	`},`
`749`	`749`	`{`