Breaking Generational Curses Under the Order of Melchizedek: God`s Remedy to Generational and Genetic Anomalies, Myles Dr Francis

Автор: Flann O`Brien
Название: Best of Myles
ISBN: 0007247184 ISBN-13(EAN): 9780007247189
Издательство: HarperCollins UK
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Цена: 1715.00 р.
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Описание: Under the pseudonym Myles na Gopaleen, Flann O` Brien wrote a daily column in the `Irish Times` called `Cruiskeen Lawn` for over twenty years which hilariously satirised the absurdities and solemnities of Dublin life.

Автор: Brenda Johnston,Florence Myles,Peter Ford,Rosamond
Название: Developing Student Criticality in Higher Education
ISBN: 1441137874 ISBN-13(EAN): 9781441137876
Издательство: Bloomsbury
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Цена: 5048.00 р.
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Описание: Critical thinking is a major and enduring aspect of higher education and the development of criticality in students has long been a core aim. However, understandings of criticality are conceptually and empirically unclear. The book combines a well developed conceptual discussion of the nature of criticality appropriate for the twenty-first century, the extent to which it is attainable by arts and social science undergraduates, and the paths by which it is developed during students’ higher education experiences. Drawing upon empirical accounts and case studies of teaching and learning in different disciplines, this book critically analyses higher education curriculum and policy documentation to explore higher educational processes, encouraging a re-evaluation of practice and educational values, and enabling the development of curricula which incorporate systematic attention to the development of student criticality. This book proposes a rounded conceptual vision of criticality in higher education for the twenty-first century.

Автор: Conway Drew, White John Myles
Название: Machine Learning for Hackers
ISBN: 1449303714 ISBN-13(EAN): 9781449303716
Издательство: Wiley
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Цена: 6334.00 р.
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Описание: Now that storage and collection technologies are cheaper and more precise, methods for extracting relevant information from large datasets is within the reach any experienced programmer willing to crunch data.