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Автор: Yashwant V. Pathak, Surovi Saikia, Sarvadaman Pathak
Издательство: CRC Press
Год: 2024
Страниц: 275
Язык: английский
Формат: pdf (true)
Размер: 14.7 MB
The authors aim to shed light on the practicality of using Machine Learning in finding complex chemoinformatics and bioinformatics applications as well as identifiying AI in biological and chemical data points. The chapters are designed in such a way that they highlight the important role of Artificial Intelligence (AI) in chemistry and bioinformatics particularly for the classification of diseases, selection of features and compounds, dimensionality reduction and more. In addition, they assist in the organization and optimal use of data points generated from experiments performed using AI techniques. This volume discusses the development of automated tools and techniques to aid in research plans. Machine Learning (ML) is typically considered to be a branch of Artificial Intelligence. Today computers are able to make decisions on their own without any outside assistance support using ML algorithms. Finding valuable underlying patterns inside complex data allows for the making of such decisions.