A Picture to Remember Level 2 Elementary/Lower Intermediate Book with Audio CD Pack

A Picture to Remember Level 2 Elementary/Lower Intermediate Book with Audio CD Pack PDF

Author: Sarah Scott-Malden

Publisher: Cambridge University Press

Published: 2000-08-31

Total Pages: 52

ISBN-13: 9780521795012

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Modern, original fiction for learners of English.Aires is waiting at the traffic lights on her motorbike. She notices two men with a gun in the car next to her. Seconds later she is hit by a taxi, and wakes up in hospital with no memory of the accident or the two men. However, the men are afraid of what might happen if her memory returns and plan to make sure it never does.

Within High Fences Level 2 Book with Audio CD Pack

Within High Fences Level 2 Book with Audio CD Pack PDF

Author: Penny Hancock

Publisher: Cambridge University Press

Published: 2005-06-30

Total Pages: 52

ISBN-13: 9780521686167

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Modern, original fiction for learners of English. Nancy is a security guard at a detention centre for asylum seekers and refugees who have come to Britain to escape persecution in their own countries. Nancy thinks she has everything: a comfortable house, nice furniture, a boyfriend and a beautiful Rolex watch. Then she falls in love with George, an asylum seeker who has nothing, and her world changes completely.

A Picture to Remember Level 2

A Picture to Remember Level 2 PDF

Author: Sarah Scott-Malden

Publisher: Cambridge University Press

Published: 1999

Total Pages: 52

ISBN-13: 9780521664776

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Cristina Rinaldi has a motorbike accident and can't remember some things.Two men think she remembers too much.

School, Family, and Community Partnerships

School, Family, and Community Partnerships PDF

Author: Joyce L. Epstein

Publisher: Corwin Press

Published: 2018-07-19

Total Pages: 518

ISBN-13: 1483320014

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Strengthen programs of family and community engagement to promote equity and increase student success! When schools, families, and communities collaborate and share responsibility for students′ education, more students succeed in school. Based on 30 years of research and fieldwork, the fourth edition of the bestseller School, Family, and Community Partnerships: Your Handbook for Action, presents tools and guidelines to help develop more effective and more equitable programs of family and community engagement. Written by a team of well-known experts, it provides a theory and framework of six types of involvement for action; up-to-date research on school, family, and community collaboration; and new materials for professional development and on-going technical assistance. Readers also will find: Examples of best practices on the six types of involvement from preschools, and elementary, middle, and high schools Checklists, templates, and evaluations to plan goal-linked partnership programs and assess progress CD-ROM with slides and notes for two presentations: A new awareness session to orient colleagues on the major components of a research-based partnership program, and a full One-Day Team Training Workshop to prepare school teams to develop their partnership programs. As a foundational text, this handbook demonstrates a proven approach to implement and sustain inclusive, goal-linked programs of partnership. It shows how a good partnership program is an essential component of good school organization and school improvement for student success. This book will help every district and all schools strengthen and continually improve their programs of family and community engagement.

New English File

New English File PDF

Author: Clive Oxenden

Publisher: Oxford University Press, USA

Published: 2006

Total Pages: 0

ISBN-13: 9780194518260

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Split editions of the New English File series, with Student's Book and Workbook in one.

Mathematics for Machine Learning

Mathematics for Machine Learning PDF

Author: Marc Peter Deisenroth

Publisher: Cambridge University Press

Published: 2020-04-23

Total Pages: 392

ISBN-13: 1108569323

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The fundamental mathematical tools needed to understand machine learning include linear algebra, analytic geometry, matrix decompositions, vector calculus, optimization, probability and statistics. These topics are traditionally taught in disparate courses, making it hard for data science or computer science students, or professionals, to efficiently learn the mathematics. This self-contained textbook bridges the gap between mathematical and machine learning texts, introducing the mathematical concepts with a minimum of prerequisites. It uses these concepts to derive four central machine learning methods: linear regression, principal component analysis, Gaussian mixture models and support vector machines. For students and others with a mathematical background, these derivations provide a starting point to machine learning texts. For those learning the mathematics for the first time, the methods help build intuition and practical experience with applying mathematical concepts. Every chapter includes worked examples and exercises to test understanding. Programming tutorials are offered on the book's web site.