Treffer 61 - 80 von 7.067

61

PyDTS: A Python Toolkit for Deep Learning Time Series Modelling.
Schirmer, Pascal A. ; Mporas, Iosif
Entropy. Apr2024, Vol. 26 Issue 4, p311. 23p.

DEEP learning PYTHON programming langu... TIME series analysis TIME complexity LINEAR algebra MACHINE learning
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62

USE OF MACHINE LEARNING TOOLS AND PYTHON LIBRARIES FOR PREDICTION THROUGH REGRESSIONS
Scientific Papers of Donetsk National Technical University. Series: “Computer Engineering and Automation"; Vol1, N1(33)'2023; 4-11
Наукові праці Донецького національного технічного університету. Серія: «Обчислювальна техніка та автоматизація»; Т1, N1(33)'2023; 4-11

python machine learning polynomial regression прогнозування... випадковий ліс... regression
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63

Supervised classification methods with R and Python
Rey-Dorène, Maxime ; Fatih, Aimane ; Chesneau, Christophe ; et al.
Master. France. 2025. :213-213

Machine learning R Python Supervised classificatio... [MATH]Mathematics [math]
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64

Harnessing Python for AI and Machine Learning: Techniques, Tools, and Green Solutions
Bhagath Chandra Chowdari Marella ; Anurag Palakurti
Advances in Environmental Engineering and Green Technologies ISBN: 9798369394717

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65

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

Machine Learning
Report
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66

Determining the Surface Energy of Metals Using Machine Learning
Goncharenko, V. I. ; Oleshko, V. S. ; Yurov, V. M.
Journal of Machinery Manufacture and Reliability. 54(8):972-980

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67

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

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68

A conversion tool for translating Python-based machine learning models to structured text codes
Yasmin Adriane de Paula Campos ; Paulo Haron da Silva Pereira ; Robson Aparecido Duarte ; et al.
SoftwareX, Vol 29, Iss , Pp 102005- (2025)

Machine learning Python Structured text Industry Computer software QA76.75-76.765
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69

A Python library for solving ice sheet modeling problems using physics-informed neural networks, PINNICLE v1.0.
Cheng, Gong ; Krishna, Mansa ; Morlighem, Mathieu
Geoscientific Model Development. 2025, Vol. 18 Issue 16, p5311-5327. 17p.

GREENLAND ANTARCTICA PYTHON programming langu... GLACIOLOGY MACHINE learning CONSERVATION laws (Physi...
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70

dtaianomaly: A Python library for time series anomaly detection
Carpentier, Louis ; Seeuws, Nick ; Meert, Wannes ; et al.

Computer Science - Machi... Computer Science - Datab...
Report
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71

OGBoost: A Python Package for Ordinal Gradient Boosting
Sharabiani, Mansour T. A. ; Bottle, Alex ; Mahani, Alireza S.

Statistics - Computation Statistics - Machine Lea...
Report
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72

Machine learning assisted canonical sampling (Mlacs)
Castellano, Aloïs ; Béjaud, Romuald ; Richard, Pauline ; et al.
In Computer Physics Communications November 2025 316

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73

Exploring Python: A Comprehensive Guide for Data Science, Machine Learning, and IoT
Mrs. Anush Sharma ; Ankit Choudhary ; Himanshu Himanshu ; et al.
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT. :1-3

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74

CodPy: a Python library for numerics, machine learning, and statistics
LeFloch, Philippe G. ; Mercier, Jean-Marc ; Miryusupov, Shohruh ; et al.

E-Ressource
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75

Enhanced process monitoring using machine learning-based control charts for poisson-distributed data
Mukhtiar, Faraz ; Zaman, Babar ; Butt, Naveed Razzaq
In Engineering Applications of Artificial Intelligence 1 October 2025 157

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76

pyM2aia: Python interface for mass spectrometry imaging with focus on deep learning
Jonas Cordes ; Thomas Enzlein ; Carsten Hopf ; et al.
Bioinformatics

0301 basic medicine Applications Note Metadata 03 medical and health sc... Deep Learning 0206 medical engineering
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77

Machine Learning in Business Finance using Python
Kian Guan Lim

Portfolio Optimization;...
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78

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
Qiu, Yuxiang ; Djemili, Karim ; Elezi, Denis ; et al.

Computer Science - Infor... Computer Science - Artif... Computer Science - Compu... Computer Science - Machi... Statistics - Machine Lea... H.3.3
Report
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79

A Comparison on LSTM Deep Learning Method and Random Walk Model Used on Financial and Medical Applications: An Example in COVID-19 Development Prediction.
Yao, Yifan ; Li, Xinxin ; Li, Qing
Computational Intelligence & Neuroscience. 8/23/2022, p1-16. 16p.

RANDOM walks DEEP learning PYTHON programming langu... COVID-19 PRICES CRYPTOCURRENCIES
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80

A Static Analysis Approach for Detecting Array Shape Errors in Python.
YUNG YU ZHUANG ; CHIEN-WEN KAO ; WEI-HSIN YEN
Journal of Information Science & Engineering. Jan2025, Vol. 41 Issue 1, p97-119. 23p.

Computational linguistic... Human error Machine learning Labor costs Pythons Python programming langu...
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