A neural network is a type of machine learning model that is inspired by the human brain. It is a network of interconnected nodes, or neurons, that learn to recognize patterns in data. Neural networks are made up of layers of neurons. The image shows a simple neural network with layers.
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Machine Learning (ML) has become a cornerstone of modern technological advancements, enabling computers to learn from data and make intelligent decisions. Central to the field of ML are various learning techniques that empower machines to acquire knowledge and improve performance. In this article, we will explore the different types of learning in Machine Learning, shedding
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Artificial Intelligence (AI) has rapidly emerged as a transformative technology, revolutionizing numerous industries and shaping our everyday lives. With its immense potential and wide-ranging applications, AI is poised to redefine the way we work, communicate, and experience the world. In this article, we will explore the essence of artificial intelligence, its key components, and the
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Foundation of AI: Alan Turing, an British mathematician was highly influential in the development of theoretical computer science, providing a formalization of the concepts of algorithm and computation with the Turing machine, which can be considered a model of a general-purpose computer. Turing is widely considered to be the father of theoretical computer science and
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