Artificial Intelligence (AI) is a field of computer science that focuses on creating computer systems that can perform tasks that typically require human intelligence, such as perception, reasoning, learning, and decision-making. AI systems can be rule-based, knowledge-based, or data-driven. Rule-based AI systems use a set of predetermined rules and decision-making criteria to make decisions, while knowledge-based AI systems use expert knowledge to make decisions. Data-driven AI systems use machine learning and statistical techniques to identify patterns in data and make predictions.
Rule-Based Engines (RBE) are computer programs that use a set of predetermined rules and decision-making criteria to perform tasks. RBEs are typically used for tasks that require a simple decision-making process, such as filtering emails or detecting spam. RBEs can also be used in more complex tasks, such as medical diagnosis, where the rules are based on expert knowledge.
Machine Learning (ML) is a subset of AI that involves teaching computer systems to learn and improve from experience. ML algorithms can be supervised, unsupervised, or semi-supervised, and they are commonly used in tasks such as image recognition, natural language processing, and recommendation systems. Supervised ML algorithms are trained on labeled data, where the correct output is known, while unsupervised ML algorithms are trained on unlabeled data and seek to identify patterns or structure in the data.
Deep Learning (DL) is a subset of ML that involves training deep neural networks to perform tasks such as image and speech recognition, natural language processing, and decision-making. DL models are trained on large datasets using backpropagation, a technique that adjusts the model’s parameters to minimize the difference between the predicted and actual outputs. DL has achieved state-of-the-art results in many AI applications, including computer vision, speech recognition, and game playing.
In conclusion, machine learning is a subset of artificial intelligence, and deep learning is a subset of machine learning.