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Showing posts with the label Neural Networks

What is Machine Learning

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  What is Machine Learning What is Machine Learning? Machine Learning (ML) is a subfield of Artificial Intelligence (AI) that involves developing algorithms and statistical models that enable machines to learn from data, make decisions, and improve their performance over time. History of Machine Learning - 1950s: The term "Machine Learning" was coined by Alan Turing, a British mathematician and computer scientist. - 1951: The first ML program, a chess-playing program, was developed by Alan Turing. - 1960s: The first AI program, ELIZA, was developed, which could simulate human-like conversations. - 1980s: David Rumelhart and James McClelland developed the backpropagation algorithm, a key component of modern neural networks. - 1990s: ML began to be applied in various fields, including computer vision, natural language processing, and speech recognition. - 2000s: The rise of deep learning algorithms, such as convolutional neural networks (CNNs) and recurrent neural networks (RNN...

What is Artificial Intelligence?

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 What is Artificial Intelligence? What is Artificial Intelligence? Artificial Intelligence (AI) refers to the development of computer systems that can perform tasks that typically require human intelligence, such as: - Learning - Problem-solving - Reasoning - Perception - Language understanding AI systems use algorithms and data to make decisions, often without human intervention. They can be designed to perform a wide range of tasks, from simple automation to complex tasks like: - Image and speech recognition - Natural Language Processing (NLP) - Predictive analytics - Decision-making There are various types of AI, including: - Narrow or weak AI (e.g., Siri, Alexa) - General or strong AI (hypothetical, human-like intelligence) - Superintelligence (far surpassing human intelligence) AI has numerous applications in industries like healthcare, finance, education, and transportation, transforming the way we live and work.