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

Go with Modulos to give your data science team an edge.