The correct answer is: A. Spam detection, Pattern detection, Natural Language Processing
Supervised learning is a type of machine learning in which the model is trained on a set of labeled data. The model learns to map the input data to the output labels. Supervised learning is used in a variety of applications, including spam detection, pattern detection, natural language processing, image classification, and real-time visual tracking.
Spam detection is the process of identifying and filtering out unwanted or unsolicited emails. Spam filters use a variety of techniques to identify spam, including keyword filtering, Bayesian filtering, and machine learning.
Pattern detection is the process of identifying patterns in data. Pattern detection is used in a variety of applications, including fraud detection, anomaly detection, and trend analysis.
Natural language processing (NLP) is a field of computer science that deals with the interaction between computers and human (natural) languages. NLP is used in a variety of applications, including machine translation, text summarization, and question answering.
Image classification is the process of assigning a label to an image. Image classification is used in a variety of applications, including face
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