Unsupervised Machine Learning
Unsupervised Machine Learning is a type of machine learning in which patterns within data are derived by a machine learning algorithm. Unlike supervised learning, training data is not pre-labeled. A common use of unsupervised learning is to use marketing and customer data to derive market segments; or, to use credit card transaction data to detect anomalies in purchase patterns that may indicate fraud.
Deeper Knowledge on Unsupervised Machine Learning
![Generative Pre-trained Transformer (GPT)](/img/blog-article-generic_256x256.jpg)
Generative Pre-trained Transformer (GPT)
An architecture to use unsupervised learning to generate human-like language
![Semisupervised Learning](/img/blog-article-generic_256x256.jpg)
Semisupervised Learning
Machine learning that uses partially labeled input as training data
Broader Topics Related to Unsupervised Machine Learning
![Types of Machine Learning](/img/blog-article-generic_256x256.jpg)
Types of Machine Learning
An overview of the types of machine learning