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Название: Computational Intelligence Aided Systems for Healthcare Domain
Автор: Akshansh Gupta, Hanuman Verma, Mukesh Prasad
Издательство: CRC Press
Год: 2023
Страниц: 437
Язык: английский
Формат: pdf (true)
Размер: 79.4 MB
This book covers recent advances in Artificial Intelligence (AI), smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. Machine Learning is a learning process by the computing device; that is the study of computer algorithms that improve automatically through experience and by using input data. Thus, the machine learning algorithms are processes that can learn from the data. This is accomplished with the minimum extent of human intervention without explicit programming like in abstraction form. The learning process in Machine Learning is improved based on the experiences of the machines throughout the execution process. It builds a model or map based on training data that can be used to make predictions or decisions.
Автор: Akshansh Gupta, Hanuman Verma, Mukesh Prasad
Издательство: CRC Press
Год: 2023
Страниц: 437
Язык: английский
Формат: pdf (true)
Размер: 79.4 MB
This book covers recent advances in Artificial Intelligence (AI), smart computing, and their applications in augmenting medical and health care systems. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including electrical, electronics and communication, computer, and biomedical. Machine Learning is a learning process by the computing device; that is the study of computer algorithms that improve automatically through experience and by using input data. Thus, the machine learning algorithms are processes that can learn from the data. This is accomplished with the minimum extent of human intervention without explicit programming like in abstraction form. The learning process in Machine Learning is improved based on the experiences of the machines throughout the execution process. It builds a model or map based on training data that can be used to make predictions or decisions.