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Название: Applications of Machine Learning and Deep Learning on Biological Data
Автор: Faheem Masoodi, Mohammad Quasim, Syed Nisar Hussain Bukhari
Издательство: CRC Press
Год: 2023
Страниц: 211
Язык: английский
Формат: pdf (true)
Размер: 10.18 MB
The automated learning of machines characterizes Machine Learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and Deep Learning (DL) have increased the speed and efficacy of programming such algorithms.
Автор: Faheem Masoodi, Mohammad Quasim, Syed Nisar Hussain Bukhari
Издательство: CRC Press
Год: 2023
Страниц: 211
Язык: английский
Формат: pdf (true)
Размер: 10.18 MB
The automated learning of machines characterizes Machine Learning (ML). It focuses on making data-driven predictions using programmed algorithms. ML has several applications, including bioinformatics, which is a discipline of study and practice that deals with applying computational derivations to obtain biological data. It involves the collection, retrieval, storage, manipulation, and modeling of data for analysis or prediction made using customized software. Previously, comprehensive programming of bioinformatical algorithms was an extremely laborious task for such applications as predicting protein structures. Now, algorithms using ML and Deep Learning (DL) have increased the speed and efficacy of programming such algorithms.