World Of Discovery Level C Set 2

World Of Discovery Level C Set 2

Author:

Publisher: World Scientific

Published: 2021-11-26

Total Pages: 224

ISBN-13: 9811244480

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The is a specially curated selection of children's books that focus on discovering Asia and discovering STEM (Science, Technology, Engineering and Maths). Under the guidance of Dr Ruth Y L Wong, these books aim to promote reading for pleasure, while exciting kids through discovery. With 51 books in this inaugural batch, and with more to come, the books are divided into three levels depending on the child's reading ability: A (Achieving), B (Blooming) and C (Confident). Level C Set 2 features seven titles, exploring themes of science, imagination, nature and global stories.


World Of Discovery Level C Set 1

World Of Discovery Level C Set 1

Author:

Publisher: World Scientific

Published: 2021-11-26

Total Pages: 224

ISBN-13: 9811244456

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The is a specially curated selection of children's books that focus on discovering Asia and discovering STEM (Science, Technology, Engineering and Maths). Under the guidance of Dr Ruth Y L Wong, these books aim to promote reading for pleasure, while exciting kids through discovery. With 51 books in this inaugural batch, and with more to come, the books are divided into three levels depending on the child's reading ability: A (Achieving), B (Blooming) and C (Confident). Level C Set 1 features seven titles, exploring themes of science, imagination, nature and global stories.Intended outcomes of Level C include teaching children to be able to:


World Of Discovery Complete Set

World Of Discovery Complete Set

Author:

Publisher: World Scientific

Published: 2021-11-26

Total Pages: 1296

ISBN-13: 9811243565

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The is a specially curated selection of children's books that focus on discovering Asia and discovering STEM (Science, Technology, Engineering and Maths). Under the guidance of Dr Ruth Y L Wong, these books aim to promote reading for pleasure, while exciting kids through discovery. With 51 books in this inaugural batch, and with more to come, the books are divided into three levels depending on the child's reading ability: A (Achieving), B (Blooming) and C (Confident). Each book includes a story-based activity at the end of the books to help parents and educators get children to engage with the story.Includes these 51 titles:


World Of Discovery Level C Set 3

World Of Discovery Level C Set 3

Author:

Publisher: World Scientific

Published: 2021-11-26

Total Pages: 224

ISBN-13: 9811244510

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The is a specially curated selection of children's books that focus on discovering Asia and discovering STEM (Science, Technology, Engineering and Maths). Under the guidance of Dr Ruth Y L Wong, these books aim to promote reading for pleasure, while exciting kids through discovery. With 51 books in this inaugural batch, and with more to come, the books are divided into three levels depending on the child's reading ability: A (Achieving), B (Blooming) and C (Confident). Level C Set 3 features seven titles, exploring themes of science, imagination, nature and global stories.Intended outcomes of Level C include teaching children to be able to:


The World Book Encyclopedia

The World Book Encyclopedia

Author:

Publisher:

Published: 2002

Total Pages: 554

ISBN-13:

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An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.


Machine Learning and Knowledge Discovery in Databases

Machine Learning and Knowledge Discovery in Databases

Author: Peter A. Flach

Publisher: Springer

Published: 2012-09-08

Total Pages: 904

ISBN-13: 3642334601

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This two-volume set LNAI 7523 and LNAI 7524 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2012, held in Bristol, UK, in September 2012. The 105 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 443 submissions. The final sections of the proceedings are devoted to Demo and Nectar papers. The Demo track includes 10 papers (from 19 submissions) and the Nectar track includes 4 papers (from 14 submissions). The papers grouped in topical sections on association rules and frequent patterns; Bayesian learning and graphical models; classification; dimensionality reduction, feature selection and extraction; distance-based methods and kernels; ensemble methods; graph and tree mining; large-scale, distributed and parallel mining and learning; multi-relational mining and learning; multi-task learning; natural language processing; online learning and data streams; privacy and security; rankings and recommendations; reinforcement learning and planning; rule mining and subgroup discovery; semi-supervised and transductive learning; sensor data; sequence and string mining; social network mining; spatial and geographical data mining; statistical methods and evaluation; time series and temporal data mining; and transfer learning.