Machine Learning is a subset of Artificial Intelligence, like various other technologies. The field of Artificial Intelligence enables machines to perform human-like tasks using the human intelligence simulated in them. Some of the core subsets of Artificial Intelligence are as follows:
Machine Learning: Machine Learning in AI is responsible for designing and creating functions and algorithms that help systems learn automatically from data and experience without any need to be programmed. The main foundation here is that machines are capable of learning from given past business data, understand trends, and use the corresponding algorithms. These algorithms are developed in a way that they can easily learn from data and use it to automatically improve their performance.
Deep Learning: Deep Learning is a subset of Machine Learning, making it a small, yet significant, part of AI. It helps machines to perform human-like tasks without any human interference. It allows AI systems to mimic human intelligence. It is implemented in AI systems using the architecture of neural networks. Deep Learning is the main technology used in speech recognition, automatic machine translation, self-driving cars, etc.
Natural Language Processing: Natural Language Processing (NLP) is a significant branch of AI. It allows machines to understand and process the language of humans, like English. It allows professionals to instruct AI-built machines to understand human language and follow the given guidelines. It allows users to communicate with the machines in their own language.
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