Obálka

Machine Learning for Earth Sciences Using Python to Solve Geological Problems /

This textbook introduces the reader to Machine Learning (ML) applications in Earth Sciences. In detail, it starts by describing the basics of machine learning and its potentials in Earth Sciences to solve geological problems. It describes the main Python tools devoted to ML, the typical workflow of...

Uloženo v:

Podrobná bibliografie
Hlavní autor:	Petrelli, Maurizio (Autor)
Korporativní autor:	SpringerLink (Online service)
Médium:	Elektronický zdroj E-kniha
Jazyk:	angličtina
Vydáno:	Cham : Springer International Publishing : Imprint: Springer, 2023.
Vydání:	1st ed. 2023.
Edice:	Springer Textbooks in Earth Sciences, Geography and Environment,
Témata:	Earth sciences. Machine learning. Artificial intelligence. Mathematics. Application software. Earth Sciences. Machine Learning. Artificial Intelligence. Applications of Mathematics. Computer and Information Systems Applications.
On-line přístup:	https://doi.org/10.1007/978-3-031-35114-3
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky

Emerging AI Applications in Earth Sciences Challenges, Impact and Analysis /
Vydáno: (2025)

Online Machine Learning A Practical Guide with Examples in Python /
Vydáno: (2024)

Metaheuristics for Machine Learning New Advances and Tools /
Vydáno: (2023)

Machine Learning for Real World Applications
Vydáno: (2024)

Machine Learning and Deep Learning in Computational Toxicology
Vydáno: (2023)

Representation in Machine Learning
Autor: Murty, M. N., a další
Vydáno: (2023)

Reinforcement Learning Theory and Python Implementation /
Autor: Xiao, Zhiqing
Vydáno: (2024)

Artificial Intelligence and Machine Learning First International Artificial Intelligence Conference, IAIC 2023, Nanjing, China, November 25–27, 2023, Revised Selected Papers, Part I /
Vydáno: (2024)

Neuro Symbolic Reasoning and Learning
Autor: Shakarian, Paulo, a další
Vydáno: (2023)

Fundamentals of Reinforcement Learning
Autor: Ris-Ala, Rafael
Vydáno: (2023)

Estimating Ore Grade Using Evolutionary Machine Learning Models
Autor: Ehteram, Mohammad, a další
Vydáno: (2023)

Machine Learning Assisted Evolutionary Multi- and Many- Objective Optimization
Autor: Saxena, Dhish Kumar, a další
Vydáno: (2024)

Machine Learning Safety
Autor: Huang, Xiaowei, a další
Vydáno: (2023)

Machine Learning and Mechanics Based Soft Computing Applications
Vydáno: (2023)

Deep Learning Foundations and Concepts /
Autor: Bishop, Christopher M., a další
Vydáno: (2024)

Mean Field Guided Machine Learning
Autor: Kang, Yuhan, a další
Vydáno: (2025)

Concise Guide to Quantum Machine Learning
Autor: Pastorello, Davide
Vydáno: (2023)

Practical Machine Learning Illustrated with KNIME
Autor: Geng, Yu, a další
Vydáno: (2024)

From Unimodal to Multimodal Machine Learning An Overview /
Autor: Škrlj, Blaž
Vydáno: (2024)

Design, Learning, and Innovation 8th EAI International Conference, DLI 2023, Aalborg, Denmark, November 6–7, 2023, Proceedings /
Vydáno: (2024)

Design, Learning, and Innovation 9th EAI International Conference, DLI 2024, Virtual Event, November 7–8, 2024, Proceedings /
Vydáno: (2025)

Biomedical Engineering Science and Technology Second International Conference, ICBEST 2023, Raipur, India, February 10–11, 2023, Revised Selected Papers /
Vydáno: (2024)

Hybrid Models for Coupling Deductive and Inductive Reasoning Third International Workshop, HYDRA 2024, Santiago de Compostela, Spain, October 20, 2024, Revised Selected Papers /
Vydáno: (2025)

Machine Learning and Artificial Intelligence
Autor: Joshi, Ameet V.
Vydáno: (2023)

Handbook of Evolutionary Machine Learning
Vydáno: (2024)

Thinking Data Science A Data Science Practitioner’s Guide /
Autor: Sarang, Poornachandra
Vydáno: (2023)

Computer Vision and Machine Intelligence Paradigms for SDGs Select Proceedings of ICRTAC-CVMIP 2021 /
Vydáno: (2023)

Foundations of Soft Logic
Autor: Klein, Moshe, a další
Vydáno: (2024)

Sustainable Development through Machine Learning, AI and IoT First International Conference, ICSD 2023, Delhi, India, July 15–16, 2023, Revised Selected Papers /
Vydáno: (2023)

Machine Learning Algorithms First International Conference, ICMLA 2024, Himachal Pradesh, India, February 23–24, 2024, Proceedings /
Vydáno: (2025)

Optimising the Software Development Process with Artificial Intelligence
Vydáno: (2023)

Machine Learning for Astrophysics Proceedings of the ML4Astro International Conference 30 May - 1 Jun 2022 /
Vydáno: (2023)

Machine Learning and Soft Computing 9th International Conference, ICMLSC 2025, Tokyo, Japan, January 24–26, 2025, Revised Selected Papers, Part I /
Vydáno: (2025)

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
Autor: Igual Laura
Vydáno: (2017)

Advanced Computing, Machine Learning, Robotics and Internet Technologies First International Conference, AMRIT 2023, Silchar, India, March 10–11, 2023, Revised Selected Papers, Part II /
Vydáno: (2024)

Advanced Computing, Machine Learning, Robotics and Internet Technologies First International Conference, AMRIT 2023, Silchar, India, March 10–11, 2023, Revised Selected Papers, Part I /
Vydáno: (2024)

Graphs in Biomedical Image Analysis 6th International Workshop, GRAIL 2024, Held in Conjunction with MICCAI 2024, Marrakesh, Morocco, October 6, 2024, Proceedings /
Vydáno: (2025)

Graphs in Biomedical Image Analysis, and Overlapped Cell on Tissue Dataset for Histopathology 5th MICCAI Workshop, GRAIL 2023 and 1st MICCAI Challenge, OCELOT 2023, Held in Conjunction with MICCAI 2023, Vancouver, BC, Canada, September 23, and October 4, 2023, Proceedings /
Vydáno: (2024)

Machine Learning with Python Theory and Implementation /
Autor: Zollanvari, Amin
Vydáno: (2023)

System Design for Epidemics Using Machine Learning and Deep Learning
Vydáno: (2023)