A place for developers to talk about building on Farcaster.

/dev

Supervised Learning
Description:
The model learns from labeled data, where both the input (features) and the output (target) are provided. The objective is to map inputs to the correct outputs.
Common Use Cases:
Spam email detection.
House price prediction.
Image classification.
Examples:
Linear Regression
Logistic Regression
Support Vector Machines (SVM)
Neural Networks (when trained with labeled data)

Supervised Learning
Description:
The model learns from labeled data, where both the input (features) and the output (target) are provided. The objective is to map inputs to the correct outputs.
Common Use Cases:
Spam email detection.
House price prediction.
Image classification.
Examples:
Linear Regression
Logistic Regression
Support Vector Machines (SVM)
Neural Networks (when trained with labeled data)

https://crazylittleprojects.com/how-to-use-sewing-machine/