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Название: Artificial Intelligence and Beyond for FinanceАвтор: Marco Corazza, René Garcia, Faisal Shah Khan, Davide La Torre, Hatem Masri
Издательство: World Scientific Publishing
Год: 2024
Страниц: 429
Язык: английский
Формат: pdf (true)
Размер: 13.6 MB
Why did we write this book? We wanted to help financial experts and investors to understand the state of the art of Artificial Intelligence and Machine Learning in finance. And so, what is Artificial Intelligence? Deep Learning (DL) is a type of Machine Learning (ML) model that is typically used in supervised learning. The main feature of DL is the use of artificial neurons that model neurons of the human brain. Arranging many artificial neurons as nodes in vertical layers from left to right produces a neural network consisting of interconnected nodes. Each vertical collection of nodes is called a layer of the neural network. The layers in between the first and the last layers are called hidden layers. If there are one or two hidden layers in a neural network, it is called shallow ; otherwise, a network is called deep. Therefore, DL refers to learning that takes place with respect to a deep neural network. For context, we note that a linear regression can be implemented on a shallow neural network. No matter the specific industry or application, AI has become a new engine of growth. Both finance and banking have been leveraging AI technologies and algorithms and applying them to automate routine tasks, procedures, forecasting, and improving the overall customer experience.
