There are many machine learning algorithms that can be used for regression tasks. Some of them are: Linear Regression Decision Tree Regressor K Nearest Neighbor Regressor Random Forest Regressor Neural Networks Image Source: https://static.javatpoint.com/tutorial/machine-learning/images/regression-vs-...
SVM requires training on labeled points from specific categories to find the hyperplane, making it a supervised learning algorithm. The algorithm solves a convex optimization problem in the background to maximize the margin with each category point on the right side. Based on this training, it can...
Available: https://www.javatpoint.com/machine-learning-techniques. [Accessed June 2024]. Google Scholar [7] O. Surucu, S.A. Gadsden, J. Yawney Condition monitoring using machine learning: a review of theory, applications, and recent advances Expert Syst. Appl., 221 (2023) Google Scholar ...
Illustration of KNN technique (adapted from JavaTpoint). 3.2. Advantages of the Classifiers Using an ML Technique Each type of classifier used as an ML technique can be evaluated as having some advantages and disadvantages to be used as a future predictor; for example, ANN has the advantages ...
Fuente de la imagen: https://static.javatpoint.com/tutorial/machine-learning/images/regression-vs-classification-in-machine-learning.png Aprendizaje supervisado frente a aprendizaje no supervisado Tipo de datos La principal diferencia entre el machine learning no supervisado y el supervisado es que ...