• Suche: Python machine learning by example

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201

Automated code transformation for distributed training of TensorFlow deep learning models.
Sim, Yusung ; Shin, Wonho ; Lee, Sungho
Science of Computer Programming. May2025, Vol. 242, pN.PAG-N.PAG. 1p.

MACHINE learning PYTHON programming langu... ENGINEERING models SOURCE code DEEP learning
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202

HiClass: a Python Library for Local Hierarchical Classification Compatible with Scikit-learn.
Miranda, Fábio M. ; Köhnecke, Niklas ; Renard, Bernhard Y.
Journal of Machine Learning Research. 2023, Vol. 24, p1-17. 17p.

MACHINE learning PYTHON programming langu... CLASSIFICATION SOURCE code
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203

Experimental Design for Data Science and Engineering
Joseph, V. Roshan

computer experiments Gaussian process modelin... Design of Experiments uncertainty quantificati... Monte Carlo simulation sensitivity analysis …
E-Book
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204

DancePartner: Python Package to Mine Multiomics Relationship Networks from Literature and Databases
Degnan, David J. ; Strauch, Clayton W. ; Obiri, Moses Y. ; et al.
Journal of Proteome Research. 24(12):6305-6310

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205

EFI: A Toolbox for Feature Importance Fusion and Interpretation in Python
Kumar, Aayush ; Mase, Jimiama Mafeni ; Rengasamy, Divish ; et al.

Computer Science - Machi... Computer Science - Logic...
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206

Pylluminator: fast and scalable analysis of DNA methylation data in Python
Fanchon, Elio ; Loire, Benjamin ; Trani, Jean-Philippe ; et al.

Epigenetics DNA methylation Illumina microarray data analysis data processing data visualization …
E-Ressource
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207

Data Science with Machine Learning : Python Interview Questions
Narayanan, Vishwanathan ; Narayanan, Vishwanathan ; Narayanan, Vishwanathan ; et al.

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208

A Gentle Introduction to Machine Learning for Chemists: An Undergraduate Workshop Using Python Notebooks for Visualization, Data Processing, Analysis, and Modeling
Lafuente, Deborah ; Cohen, Brenda ; Fiorini, Guillermo ; et al.
7

Undergraduate Students Chemistry Electronic Learning Artificial Intelligence Workshops Programming Languages …
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209

Thermal-property profiles from well-logs in sedimentary rocks: a novel machine-learning-based prediction tool trained on physically modelled synthetic data.
Hosseini-Nasab, Seyed Mojtaba ; Mousavi, Seyed Hamid Reza ; Fuchs, Sven
Geophysical Journal International. Oct2025, Vol. 243 Issue 1, p1-36. 36p.

THERMAL diffusivity THERMAL conductivity MACHINE learning SPECIFIC heat capacity HEAT capacity
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210

Developing a weather prediction project-based machine learning course in facilitating AI learning among high school students
Lu, Wen-Yen ; Fan, Szu-Chun
In Computers and Education: Artificial Intelligence 2023 5

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211

A practical applications guide to machine learning regression models in psychology with Python
Nataša Kovač ; Kruna Ratković ; Hojjatollah Farahani ; et al.
Methods in Psychology, Vol 11, Iss , Pp 100156- (2024)

Python Machine learning Psychological applicatio... Regression models Tutorial Psychology …
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212

Machine Learning-Based Mobile Applications Using Python and Scikit-Learn
Santhosh Kumar Rajamani ; Radha Srinivasan Iyer
Advances in Wireless Technologies and Telecommunication ISBN: 9781668485828

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213

Data science : time series forecasting with Facebook Prophet in Python
Packt Publishing, publisher, production company. ; Lazy Programmer, speaker, author.

Video
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214

PySHRED: A Python package for SHallow REcurrent Decoding for sparse sensing, model reduction and scientific discovery
Ye, David ; Williams, Jan ; Gao, Mars ; et al.

Machine Learning Computational Engineerin... FOS: Computer and inform... Computational Engineerin... Chaotic Dynamics FOS: Mathematics …
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215

Manify: A Python Library for Learning Non-Euclidean Representations
Chlenski, Philippe ; Du, Kaizhu ; Satow, Dylan ; et al.

Machine Learning FOS: Computer and inform... Machine Learning (cs.LG)
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216

USE OF MACHINE LEARNING TOOLS AND PYTHON LIBRARIES FOR PREDICTION THROUGH REGRESSIONS
DonNTU ; Baytelman, Yakiv (Jacob) ; Telychko, Hanna ; et al.

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217

pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning
Cordes, Jonas ; Enzlein, Thomas ; Hopf, Carsten ; et al.
Bioinformatics ; volume 40, issue 3 ; ISSN 1367-4811

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218

BANSIM: A new discrete-event simulator for wireless body area networks with deep reinforcement learning in Python
Kim, Beom-Su ; Kim, Ki-Il ; Shah, Babar
In Journal of Systems Architecture May 2022 126

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219

apricot: Submodular selection for data summarization in Python
Schreiber, Jacob ; Bilmes, Jeffrey ; Noble, William Stafford

Computer Science - Machi... Statistics - Machine Lea...
Report
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220

MetaPerceptron: A standardized framework for metaheuristic-driven multi-layer perceptron optimization
Thieu, Nguyen Van ; Mirjalili, Seyedali ; Garg, Harish ; et al.
In Computer Standards & Interfaces April 2025 93

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