Functionalities
With Modulos AutoML, you can do machine learning on a wide range of data types and tasks.
Table Classification
Assign discrete classes, such as okay/not okay, to table entries.
Examples: Predict customer churn, identify fraudulent transactions.
input: a table
output: a classification
Table Regression
Predict numerical values for table entries.
Examples: Estimate customer lifetime value, predict number of rented bicycles per day.
input: a table
output: a number
Image Classification
Assign discrete classes, such as cat/dog, to images.
Examples: Detect cancerous cells, identify faulty parts in production lines.
input: an image
output: a classification
Image Regression
Predict a numerical quantity for images.
Examples: Predict property valuation using satellite data, find suitable areas for farming.
input: an image
output: a number
Image + tabular data classification
Assign discrete classes, such as cat/dog, to images while taking additional metadata into account.
Example: Detect cancerous cells including additional information on patients such as age or gender.
input: a combination of image and tabular data
output: a classification
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