View from House

About is a blog by Dr Nils Koesters FRSA (actually Nils Kösters) about technology, data collection, data analysis and data visualisation using data you can collect at home or from somewhere else just to entertain yourself or stay inquisitive about the world around you.

My background is computing, and research and I also was a partner, business analyst in a care home for 10 years.

Currently I am  working as a director of Datafakts Ltd on Public Health Issues in Scotland.

My PhD at the British Library. It deals with Mathematical and Computational Modelling in Evolutionary Ecology.

My undergrad is in zoology, ecology, landscape engineering, and wild animal biology (that’s big mammals, like bears, wolves etc).

I am a Fellow of the Royal Society for the encouragement of Arts, Manufactures and Commerce

Online Courses (MOOCs) with Certificates:

  1. Blockchain, Cryptoassets, and Decentralized Finance Don and Alex Tapscott, Insead
  2. Introduction to Blockchain for Financial Services Don and Alex Tapscott, Insead
  3. Natural Language Processing SpecialisationYounes Bensouda Mourri, Łukasz Kaiser,Eddy Shyu,
  4. Natural Language Processing with Attention ModelsYounes Bensouda Mourri, Łukasz Kaiser,Eddy Shyu,
  5. Natural Language Processing with Probabilistic ModelsYounes Bensouda Mourri, Łukasz Kaiser,Eddy Shyu,
  6. Natural Language Processing with Sequence ModelsYounes Bensouda Mourri, Łukasz Kaiser,Eddy Shyu,
  7. Natural Language Processing with Classification and Vector SpacesYounes Bensouda Mourri, Łukasz Kaiser,Eddy Shyu,
  8. Infectious Disease Modelling Specialisation Nimalan Arinaminpathy, Imperial College London
  9. Building on the SIR Model Nimalan Arinaminpathy, Imperial College London
  10. Interventions and Calibration Nimalan Arinaminpathy, Imperial College London
  11. Developing the SIR Model Nimalan Arinaminpathy, Imperial College London
  12. Introduction to Satellite Communications Laurent Franck, Mines-Télécom
  13. Spatial Data Science and Applications Joon Heo, Yonsei University, Seoul
  14. Geospatial and Environmental Analysis Nick Santos, University of California, Davis
  15. GIS Data Formats, Design and Quality Nick Santos, University of California, Davis
  16. Fundamentals of GIS Nick Santos, University of California, Davis
  17. Exploring ​and ​Preparing ​your ​Data with BigQuery Google
  18. DEEP Learning Specialization Coursera
  19. Sequence Models Andrew Ng, Stanford University
  20. Convolutional Neural Networks Andrew Ng, Stanford University
  21. Structuring Machine Learning Projects Andrew Ng, Stanford University
  22. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Andrew Ng, Stanford University
  23. Neural Networks and Deep Learning Andrew Ng Stanford University
  24. Machine Learning Andrew Ng, Stanford University
  25. Computing for Data Analysis Roger D. Peng, John Hopkins Bloomberg School of Public Health
  26. Discrete Optimization Pascal Van Hentenryck, University of Melbourne
  27. Computational Investing Tucker Balch, Georgia Institute of Technology

I furthered my knowledge also with these courses, as I was interested after the financial crisis, how it all happened:

  • Derivative Pricing – Anke Wiese – Herriot Watt
  • Matlab Programming – Gabriel Lord – Heriot Watt
  • Financial Markets – Dr Bing Xu – Heriot Watt
  • Data Mining and Machine Learning – Dave Corne – Heriot Watt

Various Publications, I was part of:

  • 2021 Nils Kösters, Andrena McMenemy, Christine Johnson, Modelling Prevalence of Dementia and Hearing Loss in Scotland
  • 2020 Andrena McMenemy, Nils Koesters, Christine Johnson Report “Deafness: Predicting the future for Scotland – The Census and beyond“, for deafscotland and Queen Margaret University Edinburgh
  • 2020 Nils Koesters, Andrena McMenemy Report: “An estimate of the number of people in Scotland with hearing loss aged 68 years or over in 2020” for deafscotland and the “Redress and Survivor Relations Division” of the Scottish Government for the Scottish Child Abuse Inquiry
  • 2020 Andrena McMenemy, Christine Johnson LifeChanges Trust funded Reseach: “Deafness and Dementia: Predicting the future for Scotland” for deafscotland and Queen Margaret University Edinburgh
  • 2006 Andrew P Beckerman, Tim G Benton, Craig T Lapsley and
    Nils Kösters How effective are maternal effects at having
    effects?, Proc. R. Soc. B 22 February 2006 vol. 273 no.
    1585 485-493
  • 2004 Buckland, S., Newman, K., Thomas, L. and Kösters, N.
    State-space models for the dynamics of wild animal populations., Ecological Modelling 171 (1-2)
  • 2003 Kösters, N. and Buckland, S. Developing a management
    strategy for Sika Deer in Scotland. Technical report, CREEM
  • 2003 Beckerman , A.P., Benton, T.G., C.T. Lapsley, and Kösters,
    N. Talkin’ Bout My Generation – Environmental Variability
    and Cohort Effects. American Naturalist, 162 (6), 1-14
  • 2002 Buckland, S, Kösters, N., Newman, K. and Atkinson, R.
    Inference for stochastic process models: incorporating model
    uncertainty. Proceedings of the International Conference of
    Biometrics, Freiburg Germany, 2002
  • 2001 Foster, R. Free Press, Article about software developed by Kösters, N. and Owens, D., LinuxUser/July-August.
  • 1999 Kösters, N. and Michael Böckl, Perspectives for biologists
    using the Internet. ISBN: 3-9806803-0-4
  • 1999 Kösters, N.; A web
    portal for biologists. Biologists today; VdBiol 445 ISSN 1432-
  • 1996 Mommertz, S., Schauer, C., Kösters, N., Lang, A. and
    Filser, J. A comparison of D-Vac suction, fenced and un-
    fenced pitfall trap sampling of epigeal arthropods in agroe-
    cosystems. Annales Zoologica Fennici 33, 117-124 Press}

I, Nils Koesters,  am not affiliated with any products mentioned on these pages.

Nils Koesters on ResearchGate


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