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A Primer on Machine Learning in Subsurface Geosciences by Shuvajit Bhattacharya
US $82.97
ApproximatelyS$ 106.45
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Located in: Fairfield, Ohio, United States
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eBay item number:387753357695
Item specifics
- Condition
- Brand New: A new, unread, unused book in perfect condition with no missing or damaged pages. See all condition definitionsopens in a new window or tab
- ISBN-13
- 9783030717674
- Type
- NA
- Publication Name
- NA
- ISBN
- 9783030717674
About this product
Product Identifiers
Publisher
Springer International Publishing A&G
ISBN-10
3030717674
ISBN-13
9783030717674
eBay Product ID (ePID)
19050406345
Product Key Features
Book Title
Primer on Machine Learning in Subsurface Geosciences
Number of Pages
Xvii, 172 Pages
Language
English
Publication Year
2021
Topic
Civil / Soil & Rock, Intelligence (Ai) & Semantics, Power Resources / Fossil Fuels
Illustrator
Yes
Genre
Computers, Technology & Engineering
Book Series
Springerbriefs in Petroleum Geoscience and Engineering Ser.
Format
Trade Paperback
Dimensions
Item Weight
16 Oz
Item Length
9.3 in
Item Width
6.1 in
Additional Product Features
TitleLeading
A
Number of Volumes
1 vol.
Table Of Content
Introduction.- Brief Review of Statistical Measures.- Basic Steps in Machine Learning and Deep Learning Models.- Brief Review of Popular Machine Learning and Deep Learning Algorithms.- Applications of ML/DL in Geophysics and Petrophysics Domain.- Applications of ML/DL in Geology Domain.- Multi-scale Data Integration and Analytics.- The Road Ahead.
Synopsis
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.
LC Classification Number
TK1041-1078
Item description from the seller
Seller feedback (1,055,475)
- l***w (255)- Feedback left by buyer.Past monthVerified purchaseArrived on time and as described and at good price. Great book!
- l***w (255)- Feedback left by buyer.Past monthVerified purchaseArrived on time and as described and at good price. Great book!
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Seller feedback (1,055,475)
- l***w (255)- Feedback left by buyer.Past monthVerified purchaseArrived on time and as described and at good price. Great book!
- l***w (255)- Feedback left by buyer.Past monthVerified purchaseArrived on time and as described and at good price. Great book!
- e***l (3127)- Feedback left by buyer.Past monthVerified purchaseFast and professional service. Highly recommended seller. Great Ebayer. A+