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  • Suche: Machine Learning For Absolute Beginners

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Development and temporal validation of a deep learning model for automatic fetal biometry from ultrasound videos
Goetz-Fu, M. ; Haller, M. ; Collins, T. ; et al.
In Journal of Gynecology Obstetrics and Human Reproduction December 2025 54(10)

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5

Novelty in Content Creation: Experimental Results Using Deep Learning–Based Image Recognition on a Large Social Network.
Huang, Justin ; Kaul, Rupali ; Narayanan, Sridhar
Marketing Science. Nov2025, p1. 24p.

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6

Development of GRU Deep Learning Model for Predicting Daily United States Dollar to Tanzanian Shilling Exchange Rate Using Comparable Time-Lags Inputs.
Tende, Isakwisa Gaddy
International Journal of Advanced Research (2707-7802). 2025, Vol. 8 Issue 1, p186-199. 14p.

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7

Predicting Instructor Performance in Online Education: An Interpretable Hierarchical Transformer with Contextual Attention.
Wang, Wen ; Zhou, Mi ; Li, Beibei ; et al.
Information Systems Research. Dec2025, Vol. 36 Issue 4, p2327-2343. 17p.

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8

AI for Absolute Beginners.
Malik, Sahil
CODE Magazine; May/Jun2019, p8-17, 10p

ARTIFICIAL intelligence ALGORITHMS CENTRAL processing units MACHINE learning COMPUTER programming
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9

Deep Learning Based Image Aesthetic Quality Assessment- A Review.
Daryanavard Chounchenani, Maedeh ; Shahbahrami, Asadollah ; Hassanpour, Reza ; et al.
ACM Computing Surveys. Jul2025, Vol. 57 Issue 7, p1-36. 36p.

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10

Beginner-Friendly Review of Research on R-Based Energy Forecasting: Insights from Text Mining.
Kim, Minjoong ; Kim, Hyeonwoo ; Moon, Jihoon
Electronics (2079-9292); Sep2025, Vol. 14 Issue 17, p3513, 59p

ENERGY consumption forec... TEXT mining EMPIRICAL research MACHINE learning REPRODUCIBLE research SCIENTIFIC language
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11

A beginner's approach to deep learning applied to VS and MD techniques.
D'Hondt, Stijn ; Oramas, José ; De Winter, Hans
Journal of Cheminformatics; 4/8/2025, Vol. 17 Issue 1, p1-44, 44p

PHYSICAL & theoretical c... COMPUTATIONAL chemistry DRUG discovery VIRTUAL high-throughput... CHEMICAL models DEEP learning
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12

Leveraging Machine Learning to Predict Hospital Porter Task Completion Time.
Yeh, You-Jyun ; Chu, Edward T.-H. ; Lee, Chia-Rong ; et al.
Computers, Materials & Continua; 2025, Vol. 85 Issue 2, p3369-3391, 23p

MACHINE learning ENSEMBLE learning RESOURCE management PREDICTION models RESOURCE allocation PATIENT care …
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13

Machine learning approach for cost estimation in software project planning.
Jaiswal, Ajay ; Raikwal, Jagdish
Indonesian Journal of Electrical Engineering & Computer Science; Sep2025, Vol. 39 Issue 3, p1724-1735, 12p

MACHINE learning SUPPORT vector machines ENSEMBLE learning PREDICTION models COST estimates PROJECT management softw... …
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14

Automated Classification of User Needs for Beginner User Experience Designers: A Kano Model and Text Analysis Approach Using Deep Learning.
Zhang, Zhejun ; Chen, Huiying ; Huang, Ruonan ; et al.
AI; Mar2024, Vol. 5 Issue 1, p364-382, 19p

KANO (Nigeria) UNITED States. National... DEEP learning CONVOLUTIONAL neural net... USER experience RECURRENT neural network... …
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15

Digital biomarkers for interstitial glucose prediction in healthy individuals using wearables and machine learning.
Huang, Xinyu ; Schmelter, Franziska ; Seitzer, Christian ; et al.
Scientific Reports; 8/18/2025, Vol. 15 Issue 1, p1-19, 19p

BIOMARKERS WEARABLE technology NUTRITIONALLY induced di... ENSEMBLE learning GLYCEMIC control MEASUREMENT of glucose i... …
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16

A Review of Inertial Positioning Error Suppression and Accuracy Improvement Methods for Underground Pipelines.
Hou, Zhongwei ; Liang, Han ; Wu, Shixun ; et al.
Buildings (2075-5309); Nov2025, Vol. 15 Issue 21, p3904, 36p

UNDERGROUND pipelines INERTIAL navigation syst... CALIBRATION MULTISENSOR data fusion DEEP learning
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17

Transforming natural language into code: advancing automated code synthesis for software development.
Al shboul, Bashar ; Qaqour, Ali ; Bani-Salameh, Hani ; et al.
Cluster Computing; Dec2025, Vol. 28 Issue 15, p1-19, 19p

TRANSFORMER models MACHINE learning COMPUTER software develo... PROCESS optimization CODE generators EVALUATION methodology …
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18

Artificial Intelligence in Ocular Transcriptomics: Applications of Unsupervised and Supervised Learning.
Lalman, Catherine ; Yang, Yimin ; Walker, Janice L.
Cells (2073-4409); Sep2025, Vol. 14 Issue 17, p1315, 34p

ARTIFICIAL intelligence MACHINE learning DEEP learning RNA sequencing BIOMARKERS OPHTHALMOLOGY …
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19

Machine learning algorithms can recognize hydronephrosis in non-contrast CT images.
Mendi, Bökebatur Ahmet Raşit ; Batur, Halitcan
Acta Radiologica; July2025, Vol. 66 Issue 7, p782-789, 8p

HYDRONEPHROSIS MACHINE learning SUPPORT vector machines COMPUTED tomography RANDOM forest algorithms RADIOMICS …
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20

Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques.
Kong, Glenn ; Peng, Jian ; Corcoran, Jonathan
Computational Urban Science; 5/8/2025, Vol. 5 Issue 1, p1-12, 12p

URBAN heat islands MACHINE learning CLIMATIC zones SUPPORT vector machines URBAN planning ENVIRONMENTAL sciences …
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