Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /: a step-by-step breakdown with data, algorithms, codes, and applications. (2021)

Record Type:
Book
Title:
Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /: a step-by-step breakdown with data, algorithms, codes, and applications. (2021)
Main Title:
Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications
Further Information:
Note: Hoss Belyadi, Alireza Haghighat.
Authors:
Belyadi, Hoss
Haghighat, Alireza
Contents:
1. Introduction to Machine Learning and Python 2. Data Import and Visualization 3. Machine Learning Workflows and Types 4. Unsupervised Machine Learning: Clustering Algorithms 5. Supervised Learning 6. Neural Networks 7. Model Evaluation 8. Fuzzy Logic 9. Evolutionary Optimization
Publisher Details:
Amsterdam : Gulf Professional Publishing
Publication Date:
2021
Extent:
1 online resource
Subjects:
622.3380285631
Petroleum engineering -- Data processing
Natural gas -- Data processing
Machine learning
Languages:
English
ISBNs:
9780128219300
Related ISBNs:
9780128219294
Notes:
Note: Description based on CIP data; resource not viewed.
Access Rights:
Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
Access Usage:
Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
View Content:
Available online (eLD content is only available in our Reading Rooms) ↗
Physical Locations:
British Library HMNTS - ELD.DS.609929
Ingest File:
04_094.xml