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PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Applying Machine Learning in Science Education Research
Book 57 of 57: Springer Texts in EducationSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Applying Machine Learning in Science Education Research
Book 57 of 57: Springer Texts in EducationLanguage: English
Published by Springer International Publishing AG, CH, 2025
ISBN 10: 3031742265 ISBN 13: 9783031742262
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New. 2025 ed.
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Applying Machine Learning in Science Education Research : When, How and Why?
Book 57 of 57: Springer Texts in EducationSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Applying Machine Learning in Science Education Research: When, How, and Why? (Springer Texts in Education)
Book 57 of 57: Springer Texts in EducationSeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 44.72
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Applying Machine Learning in Science Education Research : When, How and Why?
Book 57 of 57: Springer Texts in EducationSeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: NEW.
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Paperback. Condition: Brand New. 382 pages. 9.25x6.10x9.21 inches. In Stock.
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Applying Machine Learning in Science Education Research
Book 57 of 57: Springer Texts in EducationLanguage: English
Published by Springer Verlag GmbH, 2025
ISBN 10: 3031742265 ISBN 13: 9783031742262
Condition: New.
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Applying Machine Learning in Science Education Research : When, How, and Why?
Language: English
Published by Springer Nature Switzerland, Springer Nature Switzerland, 2025
ISBN 10: 3031742265 ISBN 13: 9783031742262
Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education.This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.
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Taschenbuch. Condition: Neu. Applying Machine Learning in Science Education Research | When, How, and Why? | Peter Wulff (u. a.) | Taschenbuch | Springer Texts in Education | xiii | Englisch | 2025 | Springer | EAN 9783031742262 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Applying Machine Learning in Science Education Research
Book 57 of 57: Springer Texts in EducationLanguage: English
Published by Springer International Publishing AG, CH, 2025
ISBN 10: 3031742265 ISBN 13: 9783031742262
Paperback. Condition: New. 2025 ed. This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education.This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work.
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Applying predictive modeling data science and machine learning methods(Chinese Edition)
Language: English
ISBN 10: 752321133X ISBN 13: 9787523211335
paperback. Condition: New. Paperback. Pub Date: 2024-03 Pages: 628 Publisher: World Publishing Corporation This book focuses on the practical application of predictive modeling. introducing the entire process from data preprocessing to modeling. model evaluation. and selection. as well as the underlying statistical concepts. covering various regression and classification techniques. Extending from solving practical problems to model fitting. and related topics such as handling class imbalance and selecting predictorspr.
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Condition: new. Questo è un articolo print on demand.
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Paperback. Condition: Brand New. 382 pages. 9.25x6.10x9.21 inches. In Stock. This item is printed on demand.
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Applying Machine Learning in Science Education Research
Book 57 of 57: Springer Texts in EducationLanguage: English
Published by Springer, Berlin, Springer Nature Switzerland, Peter Wulff, Marcus Kubsch And Christina Krist, Springer, 2025
ISBN 10: 3031742265 ISBN 13: 9783031742262
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.The volume first introduces the theoretical underpinnings of ML methods and their connections to methodological commitments in science education research. It then presents exemplar case studies of ML uses in both formal and informal science education settings. These case studies include open-source data, executable programming code, and explanations of the methodological criteria and commitments guiding ML use in each case. The textbook concludes with a discussion of opportunities and potential future directions for ML in science education.This textbook is a valuable resource for science education lecturers, researchers, under-graduate, graduate and postgraduate students seeking new ways to apply ML in their work. 369 pp. Englisch.
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Applying Machine Learning in Science Education Research
Book 57 of 57: Springer Texts in EducationLanguage: English
Published by Springer, Palgrave Macmillan Mär 2025, 2025
ISBN 10: 3031742265 ISBN 13: 9783031742262
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This open access textbook offers science education researchers a hands-on guide for learning, critically examining, and integrating machine learning (ML) methods into their science education research projects. These methods power many artificial intelligence (AI)-based technologies and are widely adopted in science education research. ML can expand the methodological toolkit of science education researchers and provide novel opportunities to gain insights on science-related learning and teaching processes, however, applying ML poses novel challenges and is not suitable for every research context.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 384 pp. Englisch.
