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Validierung Von Lernergebnissen - Recognition And Validation Of Prior Learning is een boek van Bertelsmann W.;
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This book addresses a critical gap in the effective implementation of Recognition of Prior Learning (RPL) in post-apartheid South Africa.;
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haben die Weiterentwicklungen von Methoden und die Anspruche an die Verlasslichkeit und UEbertragbarkeit von Messergebnissen die Validierung;
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Am Beispiel des Freiburger Personlichkeitsinventars wurde eine Validierung verschiedener Personlichkeitskonstrukte vorgenommen. Neben einem;
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The recognition of prior learning (RPL) is an educational response to the need to widen participation in education and training for;
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Unter Validierung bzw. Qualifizierung versteht man die Beweisf hrung, dass Verfahren, Prozesse, Ausr stungsgegenst nde, Materialien;
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Supervised sequence labelling is a vital area of machine learning, encompassing tasks such as speech, handwriting and gesture recognition;
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recognition In Detail Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies;
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This book addresses a critical gap in the effective implementation of Recognition of Prior Learning (RPL) in post-apartheid South Africa;
Vergelijkbare producten zoals The Recognition of Prior Learning in Post-Apartheid South Africa
This book addresses a critical gap in the effective implementation of Recognition of Prior Learning (RPL) in post-apartheid South Africa;
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, strategies, and techniques of validation are explained by an international team of pre-eminent authorities, drawing on expertise from various fields;
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Validierung in der Analytik is een boek van Stavros Kromidas;
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Laura Flacke befasst sich mit dem Problem der transparenten Darstellung von im Ausland erworbenen Fachkompetenzen, die eine zentrale;
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detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature;
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kernel learning algorithms and its application on face recognition. This book also focuses on the theoretical deviation, the system framework and;
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This book deals with the relevance of recognition and validation of non-formal and informal learning education and training, the workplace;
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Harness the power of Apple iOS machine learning (ML) capabilities and learn the concepts and techniques necessary to be a successful Apple;
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competitive. The many chapters added to the prior compilation examine validation and six sigma system design; the preparation of aseptic and non;
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This book will help readers understand fundamental and advanced statistical models and deep learning models for robust speaker recognition;
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recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental;
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called, the 4S Approach. This new development helps practitioners build thriving learning communities through: (1) recognition and validation;
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called, the 4S Approach. This new development helps practitioners build thriving learning communities through: (1) recognition and validation;
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