Machine learning full scheme

Machine learning is a subfield of AI that involves training computer systems to learn and improve from experience without being explicitly programmed. The full scheme of machine learning involves several key steps, including data collection, feature extraction, model training, model evaluation, and deployment. Machine learning algorithms can be classified into supervised, unsupervised, and reinforcement learning, depending on the type of data used for training. Machine learning has many practical applications, such as predicting customer behavior, detecting fraud, and improving medical diagnosis.