ISBN-13: 9781911450399, 978-1911450399. Readers are invited to reflect on the learning theories underlying their own e-learning design practices. E-learning 1.0, 2.0, and 3.0 in Higher Education Author(s): Rhiannon Evans, Claus Nygaard.
ISBN-13: 9781911450399, 978-1911450399. Readers are invited to reflect on the learning theories underlying their own e-learning design practices. E-learning 1.0, 2.0, and 3.0 in Higher Education Author(s): Rhiannon Evans, Claus Nygaard.
UK Release Date 2023-02-10. Language English. Format Paperback. Publication Date 2023-02-10. At The Nile, if you're looking for it, we've got it. ISBN-13 9783031204449. ISBN-10 3031204441.
UK Release Date 2023-02-10. Language English. Format Paperback. Publication Date 2023-02-10. At The Nile, if you're looking for it, we've got it. ISBN-13 9783031204449. ISBN-10 3031204441.
The authors walk through a rich analysis and design scenario, explaining which parts of UML to use, and how to use them. by H. Baumann, P. Baumann. The book is uniquely practical. A richly textured case study is used throughout the book.
The authors walk through a rich analysis and design scenario, explaining which parts of UML to use, and how to use them. by H. Baumann, P. Baumann. The book is uniquely practical. A richly textured case study is used throughout the book.
Vernderte Kompetenzbereiche durch Industrie 4.0 in der Ausbildung von Techniker innen an Hheren Technischen Lehranstalten in sterreich Author(s): Erich Mohl. ISBN-13: 9783658363505, 978-3658363505. Format: Paperback.
Vernderte Kompetenzbereiche durch Industrie 4.0 in der Ausbildung von Techniker innen an Hheren Technischen Lehranstalten in sterreich Author(s): Erich Mohl. ISBN-13: 9783658363505, 978-3658363505. Format: Paperback.
TensorFlow is a one-stop solution for building, monitoring, optimizing,and deploying your models. This practical guide to building deep learning models with the new features of TensorFlow 2.0is filled with engaging projects, simple language, and coverage of the latest algorithms.
TensorFlow is a one-stop solution for building, monitoring, optimizing,and deploying your models. This practical guide to building deep learning models with the new features of TensorFlow 2.0is filled with engaging projects, simple language, and coverage of the latest algorithms.
