ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ EPFL Press, 2009, -380 pp.<div class="bb-sep"></div>The book is devoted to the analysis, modelling and visualisation of spatial environmental data using machine learning algorithms. In a broad sense, machine learning can be considered a subfield of artificial intelligence; the subject i
Machine Learning for Spatial Environmental Data: Theory, Applications, and Software (Environmental Sciences: Environmental Engineering)
β Scribed by Mikhail Kanevski, Vadim Timonin, Alexi Pozdnukhov
- Publisher
- EFPL Press
- Year
- 2009
- Tongue
- English
- Leaves
- 379
- Edition
- Har/Cdr
- Category
- Library
No coin nor oath required. For personal study only.
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