TY  - JOUR
T1  - MACHINE LEARNING APPLICATIONS IN OCEANOGRAPHY
AU  - Ahmad, Hafez
PY  - 2019
DA  - July
DO  - 10.3153/AR19014
JF  - Aquatic Research
JO  - Aquat Res
PB  - Nuray ERKAN ÖZDEN
WT  - DergiPark
SN  - 2618-6365
SP  - 161
EP  - 169
VL  - 2
IS  - 3
LA  - en
AB  - Machine learning (ML) isa subset of artificial intelligence that enables to take decision based ondata. Artificial intelligence makes possible to integrate ML capabilities intodata driven modelling systems in order to bridge the gaps and lessen demands onhuman experts in oceanographic research .ML algorithms have proven to be apowerful tool for analysing oceanographic and climate data with high accuracyin efficient way. ML has a wide spectrum of real time applications inoceanography and Earth sciences. This study has explained in simple way therealistic uses and applications of major ML algorithms.The mainapplication of machine learning in oceanography is prediction of ocean weatherand climate, habitat modelling and distribution, species identification, coastalwater monitoring, marine resources management, detection of oil spill andpollution and wave modelling.
KW  - Machine learning
KW  - Oceanography
KW  - Application
KW  - Data driven
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UR  - https://doi.org/10.3153/AR19014
L1  - https://dergipark.org.tr/en/download/article-file/755543
ER  -