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guide teaching data science di hazzan orit (28 risultati)
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Guide to Teaching Data Science: An Interdisciplinary Approach
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Guide to Teaching Data Science
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Guide to Teaching Data Science
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Guide to Teaching Data Science
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Guide to Teaching Data Science
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Guide to Teaching Data Science
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Guide to Teaching Data Science : An Interdisciplinary Approach
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Ria Christie Collections, Uxbridge, Regno Unito
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Guide to Teaching Data Science : An Interdisciplinary Approach
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Books Puddle, New York, NY, U.S.A.
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Guide to Teaching Data Science
Editore: Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 3031247574 ISBN 13: 9783031247576
Lingua: Inglese
EUR 73,02
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Aggiungi al carrelloGebunden. Condizione: New. Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.
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Guide to Teaching Data Science
Editore: Springer International Publishing AG, CH, 2023
ISBN 10: 3031247574 ISBN 13: 9783031247576
Lingua: Inglese
Da: Rarewaves.com UK, London, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. 2023 ed. Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).Professor Orit Hazzan is a faculty member at the Technion's Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations.Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Chiron Media, Wallingford, Regno Unito
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Guide to Teaching Data Science : An Interdisciplinary Approach
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Guide to Teaching Data Science : An Interdisciplinary Approach
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Guide to Teaching Data Science
Editore: Springer International Publishing AG, CH, 2023
ISBN 10: 3031247574 ISBN 13: 9783031247576
Lingua: Inglese
Da: Rarewaves.com USA, London, LONDO, Regno Unito
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Aggiungi al carrelloHardback. Condizione: New. 2023 ed. Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).Professor Orit Hazzan is a faculty member at the Technion's Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations.Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University.
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Revaluation Books, Exeter, Regno Unito
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Guide to Teaching Data Science (Hardcover)
Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 3031247574 ISBN 13: 9783031247576
Lingua: Inglese
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).Professor Orit Hazzan is a faculty member at the Technions Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations.Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Guide to Teaching Data Science (Hardcover)
Editore: Springer International Publishing AG, Cham, 2023
ISBN 10: 3031247574 ISBN 13: 9783031247576
Lingua: Inglese
Da: AussieBookSeller, Truganina, VIC, Australia
Valutazione del venditore 5 su 5 stelle
EUR 113,50
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.This book aims at closing a significant gap in the literature on the pedagogy of data science. While there are many articles and white papers dealing with the curriculum of data science (i.e., what to teach?), the pedagogical aspect of the field (i.e., how to teach?) is almost neglected. At the same time, the importance of the pedagogical aspects of data science increases as more and more programs are currently open to a variety of people.This book provides a variety of pedagogical discussions and specific teaching methods and frameworks, as well as includes exercises, and guidelines related to many data science concepts (e.g., data thinking and the data science workflow), main machine learning algorithms and concepts (e.g., KNN, SVM, Neural Networks, performance metrics, confusion matrix, and biases) and data science professional topics (e.g., ethics, skills and research approach).Professor Orit Hazzan is a faculty member at the Technions Department of Education in Science and Technology since October 2000. Her research focuses on computer science, software engineering and data science education. Within this framework, she studies the cognitive and social processes on the individual, the team and the organization levels, in all kinds of organizations.Dr. Koby Mike is a Ph.D. graduate from the Technion's Department of Education in Science and Technology under the supervision of Professor Orit Hazzan. He continued his post-doc research on data science education at the Bar-Ilan University, and obtained a B.Sc. and an M.Sc. in Electrical Engineering from Tel Aviv University. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Guide to Teaching Data Science
Editore: Springer, Berlin|Springer International Publishing|Springer, 2024
ISBN 10: 3031247604 ISBN 13: 9783031247606
Lingua: Inglese
EUR 47,23
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Data science is a new field that touches on almost every domain of our lives, and thus it is taught in a variety of environments. Accordingly, the book is suitable for teachers and lecturers in all educational frameworks: K-12, academia and industry.
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Guide to Teaching Data Science
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
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Guide to Teaching Data Science
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Majestic Books, Hounslow, Regno Unito
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Biblios, Frankfurt am main, HESSE, Germania
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Guide to Teaching Data Science: An Interdisciplinary Approach
Da: Revaluation Books, Exeter, Regno Unito
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Aggiungi al carrelloHardcover. Condizione: Brand New. 348 pages. 9.25x6.10x1.02 inches. In Stock. This item is printed on demand.
