Machine Learning: Machine learning is a subset of AI that involves training machines to learn from data, without being explicitly programmed. This involves creating models and algorithms that can analyze data and identify patterns, allowing machines to make predictions or decisions based on that data.
Natural Language Processing: Natural Language Processing (NLP) is a field of AI that focuses on understanding and interpreting human language. NLP algorithms are used in applications like chatbots, virtual assistants, and language translation software.
Computer Vision: Computer vision is another area of AI that involves teaching machines to "see" and interpret visual information. This can include tasks like image recognition, object detection, and facial recognition.
Robotics: Robotics involves the development of physical machines that can perform tasks autonomously, or with minimal human intervention. This can include industrial robots, self-driving cars, and drones.
Expert Systems: Expert systems are AI programs that are designed to mimic the decision-making abilities of a human expert in a particular field. They are often used in fields like medicine, finance, and engineering.
Neural Networks: Neural networks are a type of machine learning algorithm that are inspired by the structure of the human brain. They consist of interconnected nodes that are capable of processing and analyzing data.
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