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Taylor-mode automatic differentiation for constructing molecular rovibrational Hamiltonian operators.
Yachmenev, Andrey ; Vogt, Emil ; Corral, Álvaro Fernández ; et al.
Journal of Chemical Physics. 8/21/2025, Vol. 163 Issue 7, p1-9. 9p.

TAYLOR'S series POTENTIAL energy MOLECULES PYTHON programming langu... MACHINE learning

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labsin-uncuyo/py-cnn-geo: Python Machine Learning Forest/No-Forest mask creator
Gabriel Dario Caffaratti ; Gabriel Caffaratti

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An Empirical Exploration of Python Machine Learning API Usage
NC DOCKS at East Carolina University ; Vilkomir, Aleksei

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An Empirical Exploration of Python Machine Learning API Usage
Vilkomir, Aleksei ; Hills, Mark ; Computer Science

Machine Learning API Machine Learning explora... Machine learning Application program inte... Python (Computer program...

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Python Machine Learning By Example
Liu, Yuxi

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Python machine learning by example: implement machine learning algorithms and techniques to build intelligent systems
Liu, Yuxi (Hayden)

Computing and Computers

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Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
Raschka, Sebastian ; Mirjalili, Vahid

Computing and Computers

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DEVELOPMENT OF A FACIAL RECOGNITION SYSTEM USING PYTHON
Romulo Pedroso Branches ; Franciele Pimentel Santarem ; Jean Mark Lobo de Oliveira ; et al.

Facial Recognition Compu...

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Python machine learning cookbook: over 100 recipes to progress from smart data analytics to deep learning using real-world datasets
Ciaburro, Giuseppe ; Joshi, Prateek

Computing and Computers

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Python machine learning blueprints: put your machine learning concepts to the test by developing real-world smart projects
Combs, Alexander T ; Roman, Michael

Computing and Computers

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The Art of Data-Driven Business : Transform Your Organization Into a Data-driven One with the Power of Python Machine Learning
Alan Bernardo Palacio ; Alan Bernardo Palacio

Decision making--Data pr... Machine learning--Indust... Python (Computer program...

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Performance of Neural Networks vs. Radial Basis Functions When Forming a Metamodel for Residential Buildings
Philip Symonds ; Jon Taylor ; Zaid Chalabi ; et al.

Neural Networks Radial Basis Functions Metamodelling Python machine learning...

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Near-optimal adaptive predictive control model study for roller shades in office spaces
Bi, Guanghong ; Liu, Jiayi ; Gao, Ge ; et al.
In Journal of Building Engineering 1 June 2023 68

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On neighborhood inverse sum indeg index of molecular graphs with chemical significance
Das, Kinkar Chandra ; Mondal, Sourav
In Information Sciences April 2023 623:112-131

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Optimization of chest X-ray exposure factors using machine learning algorithm
Hamd, Zuhal Y. ; Alrebdi, H.I. ; Osman, Eyas G. ; et al.
In Journal of Radiation Research and Applied Sciences March 2023 16(1)

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Python machine learning case studies: five case studies for the data scientist
Haroon, Danish

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Python machine learning: machine learning and deep learning with Python, scikit-learn, and TensorFlow
Raschka, Sebastian ; Mirjalili, Vahid

Computing and Computers

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Hands-on data science and Python machine learning: perform data mining and machine learning efficiently using Python and Spark
Kane, Frank

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Python machine learning by example: easy-to-follow examples that get you up and running with machine learning
Liu, Yuxi (Hayden)

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Prediction of strength and analysis in self-compacting concrete using machine learning based regression techniques
Rajakarunakaran, Surya Abisek ; Lourdu, Arun Raja ; Muthusamy, Suresh ; et al.
In Advances in Engineering Software November 2022 173

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