• Suche: Practical machine learning with Python

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81

M-polynomial driven machine learning models for predicting physicochemical properties of antibiotics.
Li X ; Ghods M ; Kheirkhahan N ; et al.
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Support Vector Machine Anti-Bacterial Agents ch... Machine Learning
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82

The Role of Advanced Anomaly Detection in Transforming Program Management in Government with Scikit-Learn, A Machine Learning Library in Python
Chiedozie M. Okafor ; Owolabi Ogunse ; Mercy Nneoma Iheke ; et al.
International Journal of Research and Scientific Innovation. :148-165

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83

Robustness of Machine Learning and Deep Learning Models for Power Quality Disturbance Classification: A Cross-Platform Analysis.
Palomares-Salas, José Carlos ; Aguado-González, Sergio ; Sierra-Fernández, José María
Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10602, 16p

MATLAB (Computer softwar... MACHINE learning DEEP learning POWER quality disturbanc... PYTHON programming langu... ROBUST statistics …
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87

skfolio: Portfolio Optimization in Python
Nicolini, Carlo ; Manzi, Matteo ; Delatte, Hugo

Machine Learning Portfolio Management
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88

Predicting negative self-rated oral health in adults using machine learning: A longitudinal study in Southern Brazil.
Araujo CF ; Delpino FM ; Figueiredo LM ; et al.
Publisher: Elsevier Country of Publication: England NLM ID: 0354422 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-176X (Electronic) Linking ISSN: 03005712 NLM ISO Abbreviation: J Dent Subsets: MEDLINE

Humans Brazil Longitudinal Studies Male Adult Female …
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89

From theoretical to practical transfer learning: the ADAPT library
de Mathelin, Antoine ; Deheeger, Francois ; Mougeot, Mathilde ; et al.
Roozbeh Razavi-Far; Boyu Wang; Matthew E. Taylor; Qiang Yang. Federated and Transfer Learning. :283-306

[STAT.ML]Statistics [sta... Machine Learning [stat.M...
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90

Interpretable radiomics-based machine learning model for differentiating glioblastoma from primary central nervous system lymphoma using contrast-enhanced T1-weighted imaging.
Xia X ; Tan Q ; Xie Y ; et al.
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE

Humans Female Male Middle Aged Diagnosis, Differential Retrospective Studies …
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92

Pymc-learn: Practical Probabilistic Machine Learning in Python.
Daniel Emaasit
CoRR. abs/1811.00542

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93

sQUlearn -- A Python Library for Quantum Machine Learning
Kreplin, David A. ; Willmann, Moritz ; Schnabel, Jan ; et al.

Quantum Physics Computer Science - Machi...
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94

Introduction to Machine Learning Using Python
Vamsi Krishna ; G, LAKSHMI VARA PRASAD ; Madhurai Muthu, Muthamizh selvam ; et al.

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95

Applying Convolutional Neural Networks to Neuroimaging Classification Tasks: A Practical Guide in Python
Brandon Smith ; Alexander Alamri ; Moumin A K Mohamed ; et al.
Acta Neurochirurgica Supplement ISBN: 9783030852917

Machine Learning 03 medical and health sc... 0302 clinical medicine 4. Education Neuroimaging Neural Networks, Compute... …
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96

DeepOnto: A Python Package for Ontology Engineering with Deep Learning
He, Yuan ; Chen, Jiaoyan ; Dong, Hang ; et al.

Computer Science - Artif... Computer Science - Compu... Computer Science - Machi... Computer Science - Logic...
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97

Machine Learning in Cloud Environments: Leveraging SQL and Python for Big Data Analytics
null Bharath Muddarla ; null Praneeth Reddy Vatti
Nanotechnology Perceptions. 20:12-21

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98

Chapter 4 - Machine learning with Python
In Machine Learning Tools for Chemical Engineering 2025:31-55

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100

Sparklen: A Statistical Learning Toolkit for High-Dimensional Hawkes Processes in Python
Lacoste, Romain Edmond ; Laboratoire Analyse et de Mathématiques Appliquées (LAMA) ; Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Centre National de la Recherche Scientifique (CNRS)-Université Gustave Eiffel

Hawkes processes High-dimension Exponential kernel Empirical risk minimizat... Maximum likelihood estim... Regularization …
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