August 2024
Intermediate to advanced
374 pages
8h 44m
English
Content preview from Machine Learning in ElixirBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Classifying Flowers
Imagine you’ve been hired by a botanist. Your job is to automate the classification of the Iris genus into one class from a set of species. You must also prove that your system has a minimum success rate of 85%.
The botanist has already automated the process of collecting and measuring the flowers but cannot invest time into classifying each one individually. Instead, they’ve given you a dataset consisting of 50 examples each of the seneca, versicolor, and virginica species of the Iris genus—150 examples total. Each example contains the sepal length (cm), sepal width (cm), petal length (cm), petal width (cm), and species.
With a clear mission and some data in hand, it’s time to write your first machine learning algorithm. ...
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