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The IT Industry and Applications in Biology

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Machine Learning in Biological Sciences

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Abstract

The different applications of machine learning tools and Microsoft, Google, Facebook and Pytorch has tremendous application in biology, health, disease, predicting epidemics and disease incidence and in the domain of medical sciences. In this chapter we discuss the different applications of machine learning in applications to health, understanding Trends of disease, analysis of psychological and emotional health, from social networking sites like facebook, analysis of sequencing data using PyTorch algorithm.

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Abbreviations

AI:

Artificial intelligence

ANN:

Artificial Neural Network

DNN:

Deep neural networks

DT:

Decision Tree

FB:

Facebook

ICRISAT:

International Crops Research Institute for the Semi-Arid Tropics

URI:

Upper respiratory infections

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Authors and Affiliations

  1. School of Biological Sciences, National Institute of Science Education and Research (NISER), Bhubaneswar, Odisha, India

    Shyamasree Ghosh

  2. Heathcare, Data Core Systems, Philadelphia, PA, USA

    Rathi Dasgupta

Authors
  1. Shyamasree Ghosh
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  2. Rathi Dasgupta
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Ghosh, S., Dasgupta, R. (2022). The IT Industry and Applications in Biology. In: Machine Learning in Biological Sciences. Springer, Singapore. https://doi.org/10.1007/978-981-16-8881-2_16

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