Clustering K-nearest Neighbors Predictive Analytics Support Vector Machines 
IBM Journey to AI blog
DECEMBER 20, 2023
Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms. Regression algorithms —predict output values by identifying linear relationships between real or continuous values (e.g., temperature, salary).
Dataconomy
APRIL 4, 2023
Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean?
Dataconomy
APRIL 4, 2023
Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean?
Expert insights. Personalized for you.
75 
Let's personalize your content