Explanation of Machine Learning
Machine learning (ML) is the process a device (machine) needs to go through in order to find new information (learn) and provide better results. A popular example of this would be ChatGPT, a large language model (LLM) capable of generating code, making letters, quizzes, articles, and holding a conversation with the user. Below are some examples of ML.
Linear Regression: Learning from Data
Click on the canvas to add data points. The red line adjusts to fit the data, showing how machine learning finds the best fit.
Neural Network: A Simple Perceptron
Click "Train Neuron" to simulate a simple neural network learning process. The neuron adjusts its weight based on the data.
K-Nearest Neighbors (KNN) Visualization
Click to add points to the canvas. Choose the number of neighbors (K) to classify a new point (green). The color of the point shows its predicted class.
K (Number of Neighbors)