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Machine Learning Guide for Oil and Gas Using Python - A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

by Belyadi, Hoss, Haghighat, Alireza
Year of Publication 2021

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eBook

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SPOTting Model Parameters Using a Ready-Made Python Package

by Houska, Tobias, Kraft, Philipp, Chamorro-Chavez, Alejandro, Breuer, Lutz
Published in PloS one (17.12.2015)

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Using python libraries and k-Nearest neighbors algorithms to delineate syn-sedimentary faults in sedimentary porous media

by Martín-Martín, Manuel, Bullejos, Manuel, Cabezas, David, Alcalá, Francisco Javier
Published in Marine and petroleum geology (01.07.2023)

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Machine Learning with Spark™ and Python® - Essential Techniques for Predictive Analytics (2nd Edition)

by Bowles, Michael
Year of Publication 2020

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Artificial Intelligence with Python Cookbook - Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2.x and PyTorch 1.6

by Kumar, Ritesh, Auffarth, Ben
Year of Publication 2020

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NLMpy: a python software package for the creation of neutral landscape models within a general numerical framework

by Etherington, Thomas R., Holland, E. Penelope, O'Sullivan, David, Poisot, Timothée
Published in Methods in ecology and evolution (01.02.2015)

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Introduction to Algorithms - A Comprehensive Guide for Beginners - Unlocking Computational Thinking

by LLC Cuantum Technologies
Year of Publication 2023

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Is the Corpus Ready for Machine Translation? A Case Study with Python to Pseudo-Code Corpus

by Rai, Sawan, Belwal, Ramesh Chandra, Gupta, Atul
Published in Arabian journal for science and engineering (2011) (01.02.2023)

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Creating Python Algorithms to Mimic R Functions from the R Stats Package

Published in Proceedings of the West Virginia Academy of Science

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pyESDv1.0.1: an open-source Python framework for empirical-statistical downscaling of climate information

by Boateng, Daniel, Mutz, Sebastian G.
Published in Geoscientific Model Development (14.11.2023)

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OTSun, a python package for the optical analysis of solar-thermal collectors and photovoltaic cells with arbitrary geometry

by Cardona, Gabriel, Pujol-Nadal, Ramon
Published in PloS one (14.10.2020)

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Modeling and Optimization of 4G Pathloss using Swarm Intelligence Algorithm: Case Study and Python-Based Implementation

by Noviyansyah, Tri, Tahcfulloh, Syahfrizal
Published in Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (23.09.2025)

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Python: Advanced Guide to Artificial Intelligence: Expert machine learning systems and intelligent agents using Python

by Bonaccorso, Giuseppe, Fandango, Armando, Shanmugamani, Rajalingappaa
Year of Publication 21.12.2018

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Practical Machine Learning for Data Analysis Using Python

by Subasi, Abdulhamit
Year of Publication 2020

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Metaball skinning of synthetic astroglial morphologies into realistic mesh models for in silico simulations and visual analytics

by Abdellah, Marwan, Foni, Alessandro, Zisis, Eleftherios, Guerrero, Nadir Román, Lapere, Samuel, Coggan, Jay S, Keller, Daniel, Markram, Henry, Schürmann, Felix
Published in Bioinformatics (Oxford, England) (04.08.2021)

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Fully-automated segmentation of muscle and inter-/intra-muscular fat from magnetic resonance images of calves and thighs: an open-source workflow in Python

by Tam, Kenneth, Liu, Si Wen, Costa, Sarah, Szabo, Eva, Reitsma, Shannon, Gillick, Hana, Adachi, Jonathan D., Wong, Andy Kin On
Published in Skeletal muscle (27.12.2024)

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PyXtal: A Python library for crystal structure generation and symmetry analysis

by Fredericks, Scott, Parrish, Kevin, Sayre, Dean, Zhu, Qiang
Published in Computer physics communications (01.04.2021)

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Machine learning algorithms predict breast cancer incidence risk: a data-driven retrospective study based on biochemical biomarkers

by Guo, Qianqian, Wu, Peng, He, Junhao, Zhang, Ge, Zhou, Wu, Chen, Qianjun
Published in BMC cancer (01.07.2025)

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Active Machine Learning with Python - Refine and Elevate Data Quality over Quantity with Active Learning

by Masson-Forsythe Margaux
Year of Publication 2024

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pyvine: The Python Package for Regular Vine Copula Modeling, Sampling and Testing

by Yuan, Zhenfei, Hu, Taizhong
Published in Communications in mathematics and statistics (01.03.2021)

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