Artificial intelligence (AI)

Is a rapidly growing field of computer science that aims to create intelligent machines capable of performing tasks that traditionally require human intelligence. Machine learning (ML) is a subset of AI that involves training computer algorithms to learn from data and make predictions or decisions without being explicitly programmed. Deep learning (DL) is a type of machine learning that uses artificial neural networks with multiple layers to learn from large datasets and perform complex tasks, such as image and speech recognition. Neural networks (NN) are modeled after the structure and function of the human brain and are used in machine learning and other AI applications. Natural language processing (NLP) is a field of AI that focuses on enabling machines to understand, interpret, and generate human language. In this text, we will explore each of these technologies in more detail and their applications in various fields, including healthcare, finance, and customer service.

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A field of computer science that focuses on creating intelligent machines that can perform tasks that normally require human intelligence, such as visual perception, speech recognition, and decision-making.
A subset of AI that involves training computer algorithms to learn from data and make predictions or decisions without being explicitly programmed. DL (Deep Learning): A type of machine learning that uses artificial neural networks with multiple layers to learn from large datasets and perform complex tasks, such as image and speech recognition.
A type of computer algorithm that is modeled after the structure and function of the human brain and is used in machine learning and other AI applications.
A field of AI that focuses on enabling machines to understand, interpret, and generate human language, including tasks such as language translation, sentiment analysis, and chatbot development.

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