Cargando…

Machine learning and artificial intelligence in geosciences /

Detalles Bibliográficos
Clasificación:	Libro Electrónico
Otros Autores:	Moseley, Ben, Krischer, Lion
Formato:	Electrónico eBook
Idioma:	Inglés
Publicado:	Cambridge, MA : Academic Press, 2020.
Colección:	Advances in geophysics ; v. 61.
Temas:	Earth sciences > Data processing. Machine learning. Apprentissage automatique. Earth sciences > Data processing Machine learning
Acceso en línea:	Texto completo

Ejemplares similares

Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applications /
por: Bonakdari, Hossein, et al.
Publicado: (2023)

Machine learning for transportation research and applications /
por: Wang, Yinhai, et al.
Publicado: (2023)

Machine learning for planetary science /
Publicado: (2022)

Computers in earth and environmental sciences : artificial intelligence and advanced technologies in hazards and risk management /
Publicado: (2022)

Machine learning for biometrics : concepts, algorithms and applications /
Publicado: (2022)

Deep learning for data analytics : foundations, biomedical applications, and challenges /
Publicado: (2020)

Advances in subsurface data analytics traditional and physics-based machine learning /
Publicado: (2022)

Machine learning : a theoretical approach /
por: Natarajan, Balas Kausik
Publicado: (1991)

Conformal prediction for reliable machine learning : theory, adaptations, and applications /
Publicado: (2014)

Machine learning in chemistry : the impact of artificial intelligence /
Publicado: (2020)

Signal processing and machine learning theory /
Publicado: (2024)

Machine learning : proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, July 9-12, 1995 /
Publicado: (1995)

Applied machine learning for health and fitness : a practical guide to machine learning with deep vision, sensors, IoT, and VR /
por: Ashley, Kevin (Software architect)
Publicado: (2020)

Supervised machine learning in wind forecasting and ramp event prediction /
por: Dhiman, Harsh S., et al.
Publicado: (2020)

Deep learning through sparse and low-rank modeling /
Publicado: (2019)

Graph machine learning : take graph data to the next level by applying machine learning techniques and algorithms /
por: Stamile, Claudio, et al.
Publicado: (2021)

Signal processing theory and machine learning /
Publicado: (2014)

Using AutoML to automate selection of machine learning models and hyperparameters /
Publicado: (2019)

Machine learning : proceedings of the seventh international conference (1990), University of Texas, Austin, Texas, June 21-23, 1990 /
Publicado: (1990)

Machine Learning kompakt : Alles, was Sie wissen müssen /
por: Burkov, Andriy
Publicado: (2019)

Machine learning : theory and applications /
Publicado: (2013)

Machine learning and data mining : introduction to principles and algorithms /
por: Kononenko, Igor, 1959-
Publicado: (2007)

Machine learning : proceedings of the tenth international conference, University of Massachusetts, Amherst, June 27-29, 1993 /
Publicado: (1993)

Machine learning : proceedings of the eleventh international conference /
Publicado: (1994)

Machine learning and data science in the power generation industry /
Publicado: (2021)

Machine learning : proceedings of the ninth international workshop (ML92) /
Publicado: (1992)

Introduction to machine learning /
por: Kodratoff, Yves
Publicado: (1988)

Deep learning for time series data /
Publicado: (2019)

Adversarial robustness for machine learning models
por: Chen, Pin-Yu
Publicado: (2023)

Data science, analytics and machine learning with R /
por: F�avero, Luiz Paulo, et al.
Publicado: (2023)

Proceedings of the Fourth International Workshop on Machine Learning : June 22-25, 1987, University of California, Irvine /
Publicado: (1987)

Machine learning and data science in the oil and gas industry : best practices, tools, and case studies /
Publicado: (2021)

Proceedings of the Fifth International Conference on Machine Learning : June 12-15, 1988, University of Michigan, Ann Arbor, Michigan /
Publicado: (1988)

Quantum chemistry in the age of machine learning /
Publicado: (2023)

Machine learning : a constraint-based approach.
por: Gori, Marco, et al.
Publicado: (2023)

Artificial intelligence and machine learning for edge computing /
Publicado: (2022)

Machine learning : a constraint-based approach /
por: Gori, Marco
Publicado: (2017)

Machine learning and data science in the oil and gas industry : best practices, tools, and case studies /
Publicado: (2021)

Demystifying big data, machine learning, and deep learning for healthcare analytics /
Publicado: (2021)

Machine learning : an artificial intelligence approach.
por: Bareiss, E. Ray
Publicado: (1990)

Cannot write session to /tmp/vufind_sessions/sess_rm6shd4b851p81i25617m6ov0r