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Publications & Outputs

  1. Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

    Finlay, S., 27/05/2021, 4th ed ed. Preston: Relativistic. 236 p.

    Research output: Book/Report/ProceedingsBook

  2. Rethinking data-driven decision support in flood risk management for a big data age

    Towe, R., Dean, G., Edwards, E., Nundloll, V., Blair, G., Lamb, R., Hankin, B. & Manson, S., 1/12/2020, In: Journal of Flood Risk Management. 13, 4, 19 p., e12652.

    Research output: Contribution to journalJournal articlepeer-review

  3. Navigating Diverse Data Science Learning: Critical Reflections Towards Future Practice

    Elkhatib, Y., 11/12/2017, Cloud Computing Technology and Science (CloudCom), 2017 IEEE International Conference on. IEEE, p. 357-362 6 p.

    Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

  4. Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies

    Finlay, S. M., 28/05/2017, 2nd ed. UK: Relativistic. 150 p.

    Research output: Book/Report/ProceedingsBook

  5. Compatibility between livestock databases used for quantitative biosecurity response in New Zealand

    Jewell, C. P., van Andel, M., Vink, D. & McFadden, A., 06/2016, In: New Zealand Veterinary Journal. 64, 3, p. 158-164 7 p.

    Research output: Contribution to journalJournal articlepeer-review

  6. Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods

    Finlay, S. M., 1/07/2014, London: Palgrave Macmillan. 260 p.

    Research output: Book/Report/ProceedingsBook