self-organization maps
Self-organization maps, also known as self-organizing maps or SOMs, are a type of machine learning algorithm that can automatically organize and group data without the need for additional programming. SOMs are able to learn and represent the underlying structure of the input data, making decisions based on patterns and similarities within the data.
When machine learning can make decisions without additional programming, it is applying what concept?(1 point)
Responses which is the correct answer and why
autoencoder machine
autoencoder machine
basis-function networks
basis-function networks
self-organization maps
self-organization maps
pattern recognition
1 answer