BOOKS - Data Science and Machine Learning Applications in Subsurface Engineering
Data Science and Machine Learning Applications in Subsurface Engineering - Daniel Asante Otchere February 6, 2024 PDF BOOKS
ECO~21 kg CO²

2 TON

Views
44523

Telegram
 
Data Science and Machine Learning Applications in Subsurface Engineering
Author: Daniel Asante Otchere
Year: February 6, 2024
Format: PDF
File size: PDF 28 MB
Language: English



Pay with Telegram STARS
''

You may also be interested in:

Machine Learning for Asset Management New Developments and Financial Applications
Python for Data Science Data analysis and Deep learning with Python coding and programming
Behavior Analysis with Machine Learning and R A Sensors and Data Driven Approach
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Big Data Analysis Using Machine Learning for Social Scientists and Criminologists
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Feature Engineering for Machine Learning Principles and Techniques for Data Scientists
Machine Learning and Cryptographic Solutions for Data Protection and Network Security
Data-Driven Computational Neuroscience Machine Learning and Statistical Models
No-Code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
Machine Learning for Materials Discovery Numerical Recipes and Practical Applications
Handbook of Machine Learning for Computational Optimization Applications and Case Studies
No-Code AI Concepts and Applications in Machine Learning, Visualization, and Cloud Platforms
Fundamentals and Methods of Machine and Deep Learning Algorithms, Tools, and Applications
Artificial Intelligence and Machine Learning for Smart Community: Concepts and Applications
Machine Learning Refined Foundations, Algorithms and Applications. 2nd Edition
Machine Learning for Materials Discovery Numerical Recipes and Practical Applications
Digital Watermarking for Machine Learning Model: Techniques, Protocols and Applications
Artificial Intelligence and Machine Learning with R Applications in the Field of Business Analytics
Introduction to Machine Learning with Applications in Information Security 2nd Edition
Fundamental Mathematical Concepts for Machine Learning in Science
Fundamental Mathematical Concepts for Machine Learning in Science
Fundamental Mathematical Concepts for Machine Learning in Science
The Invisible Brand: Marketing in the Age of Automation, Big Data, and Machine Learning
Statistical Methods for Machine Learning Discover how to Transform Data into Knowledge with Python
Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Metaheuristics for Machine Learning: New Advances and Tools (Computational Intelligence Methods and Applications)
Introduction to Python With Applications in Optimization, Image and Video Processing, and Machine Learning
Machine Learning for Business Analytics: Concepts, Techniques and Applications with JMP Pro
Introduction to Python With Applications in Optimization, Image and Video Processing, and Machine Learning
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
Machine Learning and Big data Concepts, Algorithms, Tools and Applications
Fundamentals of Supervised Machine Learning: With Applications in Python, R, and Stata (Statistics and Computing)
Practical Guide to Machine Learning, NLP, and Generative AI Libraries, Algorithms, and Applications
Advanced Mathematical Applications in Data Science
Data Science Theory, Analysis and Applications
Data Science Techniques and Intelligent Applications
Advanced Mathematical Applications in Data Science
Advanced Deep Learning Applications in Big Data Analytics
Pattern Recognition and Machine Learning (Information Science and Statistics)