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==Example Implementation in Python==
Here is an example of how one might implement the Iris classification task using the SVM algorithm in [[Python (programming language)|Python]]:
```python
# Load the Iris iris dataset
iris = datasets.load_iris()
X = iris.data
y = iris.target
# Create an SVM Classifier classifier with a Linear Kernellinear kernel
clf = svm.SVC(kernel='linear')
# Train the classifier using on the iris dataset
clf.fit(X, y)
# Predict the class and color of a new, unidentified unknown iris
new_iris = [[5.0, 3.6, 1.3, 0.25]]
predicted_class = clf.predict(new_iris)
```
This code would output the class for of the new iris, such asfor example 'setosa.'
==Explain Like I'm 5 (ELI5)==
Machine learning allows computers to learn without having to be programmed. One example is a game in which the computer attempts to identify what kind of flower it is seeing based on photos of other flowers it has seen. The computer is shown pictures of different flowers and is told what kind of flower it is looking at. After looking at many examples, the computer can see a new photo of a flower to determine what type it is.
