What technique is considered unsupervised learning??
Unsupervised learning is the training of an artificial intelligence (AI) algorithm using information that is neither classified nor labeled and allowing the algorithm to act on that information without guidance.
What are the main supervised machine learning methods??
Classification There is a pision of classes of the inputs, the system produces a model from training data wherein it assigns new inputs to one of these classes It ... Regression Regression algorithm also is a part of supervised learning but the difference being that the outputs are continuous variables and not discrete. ... Dimensionality Reduction
What are supervised machine learning examples??
Some examples of supervised learning applications include:
- In finance and banking for credit card fraud detection (fraud, not fraud). ...
- Email spam detection (spam, not spam).
- In marketing area - a range of text mining algorithms are used for text sentiment analysis (happy, not happy).
What is unsupervised learning with example??
Examples of Unsupervised Learning Techniques Cluster analysis. ... Anomaly Detection. ... Autoencoder. ... Generative Adversarial Network. ... Unsupervised Learning and Transformers. ... Attention Mechanism and Unsupervised Learning. ... Unsupervised Learning for Anomaly Detection in Finance. ... Unsupervised Learning for Clustering Medical Data. ...