The management of teaching and learning of street children in Gauteng schools

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Learning industrial descriptions : NLP tasks for acronym expansion

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Understanding beneficiaries’ experiences of quality in early learning centres

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End-to-End Autonomous Quadcopter using Reinforcement Learning by Chawa, Mohamed Marwan

“…This thesis investigates the potential of Reinforcement Learning (RL) for achieving robust and adaptable quadcopter control, focusing on trajectory and attitude stabilization. …”
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On noise regularised neural networks: initialisation, learning and inference by Pretorius, Arnu

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‘n Analise van oordragdinamiek, leerfasilitering en praktyk in ‘n Nagraadse Sertifikaat in Hoër Onderwys (Afrikaans)

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Esports betting technology: machine learning for match prediction and odds estimation by du Plessis, Henri Izak David

“…This research therefore demonstrates how machine learning models can be used for esports match prediction, with practical applications in the online betting industry.…”
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Prediction of mobile network subscriber satisfaction by using network probing experience measures and machine learning by Kruger, Martin

“…In addition, we find that all tested machine learning models, whether linear or non-linear, are poor predictors of NPS. …”
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Violence, primary school learning and development in the Cape Flats township of Mitchells Plain: a case study of exposure to violence and its implications for children's' learning... by Kampfer, Judine Pearl

“…I used Bronfenbrenner's ecological models to explain the impact exposure to violence has on human development and cognitive growth within an ecological system. …”
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Pronunciation modelling and bootstrapping

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A learning theory approach to students' misconceptions in calculus by Bowie, Lynn Heather

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Towards sustainable lecturers’ learning in Kenyan private universities by Omingo, Mary Odinga

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Feature engineered embeddings for machine learning on molecular data

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Analysis of Machine Learning Algorithms for Time Series Prediction by Naidoo, Kimendree

“…This research investigates and evaluates machine learning algorithms that can be used for time series prediction. …”
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Organisational learning and dynamic Capabilities : a case study

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Reinforcement learning microservices scheduler in intelligent edge computing

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The application of machine learning for computational electromagnetic solver selection by De la Bat, Willem

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The role of the learning support teacher in facilitating learner engagement by Van der Linde, Elzahn Amanda

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A machine learning framework for security forecasting and trading by Van Schalkwyk, Philip

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Autonomous racing on unseen tracks using reinforcement learning by Jefferies, Devin Wayne Patrick

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