Icon Legend:
Type: course video exo open book book article git repo website
level: begin intermediate advanced
| A practical guide to machine learning in ecology J Lefcheck – blog introducing machine learning to ecologists |
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| Deep Learning for Ecology P Gray – a brief overview of the applications of deep learning to ecology and remote sensing |
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| Data Science Live Book P Casas – a book about data preparation, data analysis and machine learning |
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| Machine Learning for Ecology and Sustainable Natural Resource Management G Humphries, D R Magness, F Huettmann – Shows ecologists cutting-edge methods that can help in understanding complex systems with multiple interacting variables to form predictive hypotheses from large datasets |
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| Machine Learning Mastery – A site including tutorials for machine learning from beginners to advanced levels |
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| In-depth introduction to machine learning T Hastie and R Tibshirani – 2014, A full introduction to start machine learning |
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| Oxford Machine Learning N de Freitas, B Shillingford, M Moczulsky a maths course to introduce numerical computation, statistics and optimization to be able to design and implement machine learning algorithms, prerequisites in maths and programming |
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| A translucent box: interpretable machine learning in ecology T C D Lucas |
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| Applications for deep learning in ecology S Christin, E Hervet, N Lecomte |
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| Deep learning as a tool for ecology and evolution Borowiec et al. |
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| Machine learning to classify animal species in camera trap images: Applications in ecology Tabac et al. |
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| Awesome Machine Learning – A list of machine learning frameworks, libraries and software |
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Have a look also to wikistat (Insa Toulouse, but in french)