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14 - Machine Learning

from Part I - Physical Tools

Published online by Cambridge University Press:  12 December 2024

Thomas Andrew Waigh
Thomas Andrew Waigh
Affiliation:
University of Manchester
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Summary

Considers the application of machine learning and neural networks to the analysis of big data from bacterial experiments.

Keywords

AImachine learningbig data
Type
Chapter
Information
The Physics of Bacteria
From Cells to Biofilms
 , pp. 133 - 142
Publisher: Cambridge University Press
Print publication year: 2024

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References

Suggest Reading

Bishop, C. M., Pattern Recognition and Machine Learning. Springer: 2008. Accessible introduction to classical machine learning.Google Scholar
Chollet, F., Deep Learning with Python. Manning: 2018. Another practical introduction to neural network coding, slightly simpler than the Geron approach.Google Scholar
Geron, A., Hands on Machine Learning with Scikit-learn, Kera and TensorFlow. O’Reilly: 2019. The go to manual for practical aspects for coding machine learning algorithms and neural networks.Google Scholar
Goodfellow, I.; Bengio, Y.; Courville, A., Deep Learning: Adaptive Computation and Machine Learning. MIT Press: 2017. Good theoretical overview of deep learning including generative adversarial networks.Google Scholar
Murphy, K. P., Probabilistic Machine Learning: An Introduction. MIT Press: 2023. Excellent introduction to ML with an emphasis on Bayesian techniques.Google Scholar
Nielsen, A., Practical Time Series Analysis: Prediction with Statistics and Machine Learning. O’Reilly: 2019. Considers modern techniques to interpret time series data sets.Google Scholar
Zvelebil, M.; Baum, J. O., Understanding Bioinformatics. Garland Science: 2007. Excellent introduction to classical computational techniques in molecular biology.CrossRefGoogle Scholar

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  • Machine Learning
  • Thomas Andrew Waigh, University of Manchester
  • Book: The Physics of Bacteria
  • Online publication: 12 December 2024
  • Chapter DOI: https://doi.org/10.1017/9781009313506.016
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Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Machine Learning
  • Thomas Andrew Waigh, University of Manchester
  • Book: The Physics of Bacteria
  • Online publication: 12 December 2024
  • Chapter DOI: https://doi.org/10.1017/9781009313506.016
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Machine Learning
  • Thomas Andrew Waigh, University of Manchester
  • Book: The Physics of Bacteria
  • Online publication: 12 December 2024
  • Chapter DOI: https://doi.org/10.1017/9781009313506.016
Available formats
×