Linear Regression
K-Nearest Neighbors (KNN)
Support Vector Machine (SVM)
Recurrent Neural Network (RNN)
Answer is Right!
Answer is Wrong!
The correct answer is D. Recurrent Neural Network (RNN).
A Recurrent Neural Network (RNN) is a type of artificial neural network that is commonly used for solving classification and regression tasks, such as speech recognition. RNNs are able to learn long-term dependencies between data points, which makes them well-suited for tasks that involve
64S117.2 64 74.6 75.5c-23.5 6.3-42 24.9-48.3 48.6-11.4 42.9-11.4 132.3-11.4 132.3s0 89.4 11.4 132.3c6.3 23.7 24.8 41.5 48.3 47.8C117.2 448 288 448 288 448s170.8 0 213.4-11.5c23.5-6.3 42-24.2 48.3-47.8 11.4-42.9 11.4-132.3 11.4-132.3s0-89.4-11.4-132.3zm-317.5 213.5V175.2l142.7 81.2-142.7 81.2z"/> Subscribe on YouTube
sequential data, such as speech recognition.
Linear Regression is a supervised machine learning algorithm that is used to predict continuous values. It is a simple algorithm that works by finding a linear relationship between the input features and the output label.
K-Nearest Neighbors (KNN) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding the k nearest neighbors of a given data point and then using the labels of those neighbors to predict the label of the data point.
Support Vector Machine (SVM) is a supervised machine learning algorithm that is used for classification and regression tasks. It works by finding a hyperplane that separates the data points into two classes.
In conclusion, the correct answer is D. Recurrent Neural Network (RNN).