A Primer on Machine Learning in Subsurface Geosciences is popular PDF and ePub book, written by Shuvajit Bhattacharya in 2021-05-03, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, A Primer on Machine Learning in Subsurface Geosciences can be Read Online from any device for your convenience.
A Primer on Machine Learning in Subsurface Geosciences Book PDF Summary
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.
Detail Book of A Primer on Machine Learning in Subsurface Geosciences PDF
- Author : Shuvajit Bhattacharya
- Release : 03 May 2021
- Publisher : Springer Nature
- ISBN : 9783030717681
- Genre : Technology & Engineering
- Total Page : 172 pages
- Language : English
- PDF File Size : 17,5 Mb
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