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Titlebook: A Primer on Machine Learning in Subsurface Geosciences; Shuvajit Bhattacharya Book 2021 The Author(s), under exclusive license to Springer

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發(fā)表于 2025-3-21 16:43:33 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱A Primer on Machine Learning in Subsurface Geosciences
影響因子2023Shuvajit Bhattacharya
視頻videohttp://file.papertrans.cn/142/141909/141909.mp4
發(fā)行地址Explores the benefits, problems, and applications of machine learning in a geosciences context.Presents numerous applications of machine learning models, allowing readers to transpose methods to their
學(xué)科分類SpringerBriefs in Petroleum Geoscience & Engineering
圖書封面Titlebook: A Primer on Machine Learning in Subsurface Geosciences;  Shuvajit Bhattacharya Book 2021 The Author(s), under exclusive license to Springer
影響因子.This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.?.
Pindex Book 2021
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發(fā)表于 2025-3-21 20:56:01 | 只看該作者
Hans Schoemaker,Salomon Z. Langerticated tools. We will also go into the brief?history of the advent of different machine learning algorithms, the different types of geoscience databases, and their fitness to machine learning applications.
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Book 2021e fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while t
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Front Matterelations in Singapore, where contemporary pressures of globality intersect with colonial legacies entrenched in everyday cross-cultural interactions. ././. is a play by Alfian Sa’at and Neo Hai Bin staged as a critical response to the nation’s 2019 bicentennial commemoration of Raffles’s arrival in
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Front Matter way the postcolonial state has co-opted the island’s colonial past to formulate a dominant narrative about Singapore’s progressive transformation from colony to nation and global city, with capitalist development as its seemingly inexorable engine. I employ the conceptual framework of decoloniality
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978-3-030-71767-4The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
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