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Hands-On Meta Learning with Python
Ravichandiran, Sudharsan ; Ravichandiran, Sudharsan ; Ravichandiran, Sudharsan ; et al.

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2

Unsupervised Learning Methods
Pajankar, Ashwin ; Joshi, Aditya ; Pajankar, Ashwin ; et al.
Hands-on Machine Learning with Python : Implement Neural Network Solutions with Scikit-learn and PyTorch. :185-211

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3

Systematic review of machine learning techniques to predict anxiety and stress in college students
Daza, Alfredo ; Saboya, Nemias ; Necochea-Chamorro, Jorge Isaac ; et al.
In Informatics in Medicine Unlocked 2023 43

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4

Hands-On Meta Learning with Python
Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; et al.
2018

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5

Hands-On Meta Learning with Python
Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; et al.
2018

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6

Hands-On Meta Learning with Python
Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; et al.
2018

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7

Hands-On Meta Learning with Python
Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; Sudharsan Ravichandiran ; et al.
2018

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8

Hands-On One-shot Learning with Python
Jadon, Shruti ; Garg, Ankush ; Jadon, Shruti ; et al.

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9

Deep Reinforcement Learning with Python
Ravichandiran, Sudharsan ; Ravichandiran, Sudharsan ; Ravichandiran, Sudharsan ; et al.

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11

Exploring new frontiers of experiential learning landscape: a hybrid review.
Azeez, Fousia ; Aboobaker, Nimitha
Learning Organization. 2024, Vol. 31 Issue 6, p985-1007. 23p.

Organizational learning Effectuation theory Social learning theory Kolb's Experiential Lear... Bibliometrics Experiential learning …
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12

Implementing from scratch an easy-to-use Deep Learning library and experimenting with the internal neural networks pipeline
Lumbreras Ruiz, Felipe ; García Romera, Abel ; Universitat Autònoma de Barcelona. Escola d'Enginyeria ; et al.

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13

Integrating High Performance Computing into Higher Education and the Pedagogy of Cluster Computing
Stevens, Cody ; Anderson, Sean ; Carlson, Adam
Practice and Experience in Advanced Research Computing 2024: Human Powered Computing. :1-3

Konferenz
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14

An Intelligent Hybrid Machine Learning With Meta‐Heuristic Optimization Algorithms for Enhancing Real‐Time Video Stabilization.
Afsal, S. ; Linsely, J. Arul
Internet Technology Letters; Sep2025, Vol. 8 Issue 5, p1-6, 6p

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15

Implementing from scratch an easy-to-use Deep Learning library and experimenting with the internal neural networks pipeline
García Romera, Abel ; Universitat Autònoma de Barcelona. Escola d'Enginyeria ; Lumbreras Ruiz, Felipe
Dipòsit Digital de Documents de la UAB
Universitat Autònoma de Barcelona

Perceptró multicapa Image classification Meta learning Classificació d'imatges Metaaprenentatge Convolutional neural net... …
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16

Efficient and Modular Implicit Differentiation
Blondel, Mathieu ; Berthet, Quentin ; Cuturi, Marco ; et al.

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17

Identificación de neoplasia intraepitelial cervical mediante el uso de aprendizaje de máquina ; Cervical Intraepithelial Neoplasia identification using machine learning
Tenjo Castaño, Camilo Antonio
Shrestha, Aamod Dhoj; Neupane, Dinesh; Vedsted, Peter; Kallestrup, Per (2018) Cervical cancer prevalence, incidence and mortality in low and middle income countries: a systematic review. En: Asian Pacific journal of cancer prevention: APJCP. Vol. 19; No. 2; pp. 319 ; Arbyn, Marc; Weiderpass, Elisabete; Bruni, Laia; de Sanjosé, Silvia; Saraiya, Mona; Ferlay, Jacques; Bray, Freddie (2020) Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis. En: The Lancet Global Health. Vol. 8; No. 2; pp. e191 - e203; ; Cancer, World Health Organization: International Agency for Research on; Global Cancer Observatory. Consultado en: 2023/04/24/. ; ....

Aprendizaje automático Aprendizaje profundo Colposcopía Displasia cervical Neoplasia intraepitelial... Transformadores de visió... …
Dissertation
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18

Egyptian Hieroglyphs Segmentation with Convolutional Neural Networks.
Guidi, Tommaso ; Python, Lorenzo ; Forasassi, Matteo ; et al.
Algorithms; Feb2023, Vol. 16 Issue 2, p79, 13p

META Platforms Inc. CONVOLUTIONAL neural net... MACHINE learning DEEP learning IMAGE segmentation ARCHAEOLOGICAL finds …
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19

Modelo de reconocimiento para la lengua de señas: aproximación comparativa entre métodos de reconocimiento de patrones por inteligencia artificial ; Sign language recognition model: comparative approach between artificial intelligence pattern recognition methods
Corredor Camargo, Simon Felipe
Dipietro, Laura; Sabatini, Angelo M; Dario, Paolo (2008) A Survey of Glove-Based Systems and Their Applications. En: IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications. Vol. 38; No. 4; pp. 461-482 Disponible en: http://dx.doi.org/10.1109/TSMCC.2008.923862. Disponible en: 10.1109/TSMCC.2008.923862. ; Suarez, Arnol; Jimenez, Andres; Castro Franco, Mauricio; Cruz-Roa, Angel (2016) Clasificación automática de coberturas del suelo en imágenes satelitales. ; Badi, Haitham; Hussein, Sabah (2014) Hand posture and gesture recognition technology. En: Neural Computing and Applications. Vol. 25; pp. 871-878 Disponible en: http://dx.doi.org/10.1007/s00521-014-1574-4. Disponible en: 10.1007/s00521-014-1574-4. ; Saunshi, Nikunj; Gupta, Arushi; Hu, Wei (2021) A Representation Learning Perspective on ....

Redes neuronales Deep Learning Convolutional Neural Net... Lengua de Señas Ingeniería & operaciones... Neuronal Networks …
Dissertation
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20

ANALYSIS AND PREDICTION OF WEATHER CONDITIONS BASED ON MACHINE LEARNING WITH INTEGRATION OF WEB TECHNOLOGIES ; АНАЛІЗ ТА ПЕРЕДБАЧЕННЯ ПОГОДНИХ УМОВ НА ОСНОВІ МАШИННОГО НАВЧАННЯ З ІНТЕГРАЦІЄЮ ВЕБ-ТЕХНОЛОГІЙ
Мельник Ю. В. (Melnyk Yu.V.) ; Отрох С. І. (Otrokh S.I.) ; Беспала О. М. (Bespala O.M.) ; et al.
Scientific Notes of the State University of Information and Communication Technology; № 2 (2025); 109-117 ; Научные записки Государственного университета телекоммуникаций; № 2 (2025); 109-117 ; Наукові записки Державного університету інформаційно-комунікаційних технологій; № 2 (2025); 109-117 ; 2518-7678

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