Update modules/chapter1/pages/section1.adoc

Co-authored-by: Max Murakami <68942736+mamurak@users.noreply.github.com>

modules/chapter1/pages/section1.adoc

@@ -4,7 +4,7 @@
 
 A machine learning model is a program that can learn and make predictions or decisions based on data. It's a fundamental component of machine learning, a subset of artificial intelligence. Machine learning models are designed to automatically improve their performance on a task through experience (i.e., training data) without being explicitly programmed for that task.
 
-For example, in natural language processing, machine learning models can parse and correctly recognize the intent behind previously unheard sentences or combinations of words. In image recognition, a machine learning model can be taught to recognize objects - such as cars or dogs. A machine learning model can perform such tasks by having it __trained__ with a large dataset. During training, the machine learning algorithm is optimized to find certain patterns or outputs from the dataset, depending on the task. The output of this process - often a computer program with specific rules and data structures - is called a machine learning model.
+For example, in natural language processing, machine learning models can parse and correctly recognize the intent behind previously unheard sentences or combinations of words. In image recognition, a machine learning model can be taught to recognize objects -- such as cars or dogs. A machine learning model can perform such tasks by having it __trained__ with a large dataset. During training, the machine learning algorithm is optimized to find certain patterns or outputs from the dataset, depending on the task. The output of this process -- often a computer program with specific rules and data structures -- is called a machine learning model.
 
 The process of creating a model include steps for data collection and selection, the selection of an algorithm to process the data, training the model with such algorithm by tuning its hyperparameters, and once it is measured to produce the required results, exporting the model so that it can be deployed.