October 2018
Beginner
362 pages
9h 32m
English
Content preview from Hands-On Artificial Intelligence for Beginners
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Supervised learning algorithms
Supervised algorithms rely on human knowledge to complete their tasks. Let's say we have a dataset related to loan repayment that contains several demographic indicators, as well as whether a loan was paid back or not:
|
Income |
Age |
Marital Status |
Location |
Savings |
Paid |
|
$90,000 |
28 |
Married |
Austin, Texas |
$50,000 |
y |
The Paid column, which tells us if a loan was paid back or not, is called the target - it's what we would like to predict. The data that contains information about the applicants background is known as the features of the datasets. In supervised learning, algorithms learn to predict the target based on the features, or in other words, what indicators give a high probability ...
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