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-...
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 ...
Support vector machines (SVMs) are supervised machine learning algorithms that come up with classification methods of objects in an n-dimensional space. The coordinates of these objects are usually called features. SVMs draw a hyperplane to separate two object categories so that all points from one...
Random forest algorithm - javatpoint https://www.javatpoint.com/machine-learning-random-forest-algorithm Google Scholar [11] N. Deo Graph Theory with Applications to Engineering and Computer Science Courier Dover Publications (2017) Google Scholar [12] A. Solairaju, C.V. Ragavan Edge magic ...
Advancements in Machine Learning and Early IoT Concepts: 2000s Early 2000s: The integration of machine-learning algorithms, such as neural networks and SVMs, into TCM systems became more common. These algorithms were employed to predict tool wear based on historical data and real-time sensor inp...