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Causation Causation
Correlation
Sale of fans Consumption of
ice-creams
● Another example is that, due to less RAM, our mobile phone freezes. This means no playing games or messaging
through the phone.
Classification
We use classification every day, classifying vegetables as ‘good to eat’ or ‘rotten’, classifying cats as per their breed or
even classifying files as important or not important.
One more common example of classification is to identify spam emails. To create
an email spam filter program, a developer can train a machine learning algorithm
with a set of spam-like emails labelled “spam” and normal emails labelled “not
spam”.
The reason behind this is to train an algorithm that can identify spam emails from a set
of emails and filter out non spam emails.
In order to understand "Classification", let us revise the concept of "Supervised
Learning", because classification is type of supervised learning.
Supervised learning is a subcategory of Machine Learning and Artificial Intelligence. It is also known as supervised machine
learning. In supervised learning, we train the machine using well-labelled data, which means the data is already marked
with the correct answer. After that, the machine is given a new dataset (training data) so that the supervised learning
algorithm can analyse this data and produce the correct outcome.
Let us take an example of vegetables. Now, you want to create a machine that can identify the vegetables
one by one.
338 Touchpad Artificial Intelligence (Ver. 3.0)-XI

