Titlebook: Machine Learning in Biological Sciences; Updates and Future P Shyamasree Ghosh,Rathi Dasgupta Book 2022 The Editor(s) (if applicable) and T

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https://doi.org/10.1007/978-981-16-8881-2machine learning; artificial intelligence; computational biology; systems biology; biomedicine; neural ne

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Shyamasree Ghosh,Rathi DasguptaGives an overview of machine learning methods, models and different applications in life sciences.Describes the use of ML in studying animal behavior, plant-pathogen interaction.Discusses the future o

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Model Selection for Machine Learning,with more than one algorithm. However, the choice of that depends on the availability of data type, data set, complexity, use of resources, and statistical cost function. Here in this chapter, we have explored different algorithms for their suitability to solve a particular problem.

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,Artificial Intelligence Industry?and the Domain of Life Sciences,ciences domain. Both Microsoft Azure and Amazon Web Services (AWS) have been instrumental in facilitating research in the domain of life sciences. We discuss in this chapter the application of AZURE and AWS in research in the domain of Life sciences.

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