Can-Do Print
Can-Do Print

Author: Jan Z. Olsen

Publisher:

Published: 2013-01-01

Total Pages: 96

ISBN-13: 9781891627699

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Saddle stiched student workbook

How to Write what You Want and Sell what You Write
How to Write what You Want and Sell what You Write

Author: Skip Press

Publisher: Career PressInc

Published: 1995

Total Pages: 223

ISBN-13: 9781564141521

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Not loaded with theory, Skip's invaluable book contains concise, easily understood and applied advice for both writing and marketing any kind of book, article, story, play, screen-play, report, proposal or anything else you can think of.How to Write What You Want and Sell What You Write is for every writer or wannabe who needs to sort out his or her desires, capabilities and strengths and, even more importantly, learn the particular formats for the kind of writing in which he or she is interested.

What a Book Can Do
What a Book Can Do

Author: Priscilla Coit Murphy

Publisher: Studies in Print Culture and t

Published: 2005

Total Pages: 0

ISBN-13: 9781558495821

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In 1962 the publication of Rachel Carson's Silent Spring sparked widespread public debate on the issue of pesticide abuse and environmental degradation. The discussion permeated the entire print and electronic media system of mid-twentieth century America. Although Carson's text was serialized in the New Yorker, it made a significant difference that it was also published as a book. With clarity and precision, Priscilla Coit Murphy explores the importance of the book form for the author, her editors and publishers, her detractors, the media, and the public at large. Murphy reviews the publishing history of the Houghton Mifflin edition and the prior New Yorker serialization, describing Carson's approach to her project as well as the views and expectations of her editors. She also documents the response of opponents to Carson's message, notably the powerful chemical industry, including efforts to undermine, delay, or stop publication altogether. Murphy then investigates the media's role, showing that it went well beyond providing a forum for debate. In addition, she analyzes the perceptions and expectations of the public at large regarding the book, the debate, and the media. By probing all of these perspectives, Murphy sheds new light on the dynamic between newsmaking books, the media, and the public. In the process, she addresses a host of broader questions about the place of books in American culture, past, present, and future.

What Can I Do?
What Can I Do?

Author: Jane Fonda

Publisher: National Geographic Books

Published: 2021-09-07

Total Pages: 0

ISBN-13: 0593296249

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A call to action from Jane Fonda, one of the most inspiring activists of our time, urging us to wake up to the looming disaster of climate change and equipping us with the tools we need to join her in protest In 2019, daunted by the looming disaster of climate change and inspired by Greta Thunberg, Naomi Klein, and student climate strikers, Jane Fonda asked herself one question: What can I do? Jane Fonda, one of the most influential activists of our time, moved to Washington, D.C., and has since led thousands of people in demonstrations on Capitol Hill. In launching Fire Drill Fridays, Fonda teamed up with Greenpeace, leading climate scientists, and community organizers not only to understand what’s at stake, but to equip all of us with the education and tools we need to join her in protest. What Can I Do? isn’t a wish list—it’s a to-do list. So many of us recognize the urgency in stemming the tide of climate change but aren’t sure where to start. Our window of opportunity to act is quickly closing. And it isn’t only Earth’s life-support systems that are unraveling, so too is our social fabric. This is going to take an all-out war on drilling, fracking, deregulation, racism, misogyny, colonialism, and despair—all at the same time. The problems we face now require every one of us to join the fight for not only our immediate future, but for the future of generations to come. 100% of the author's net proceeds from What Can I Do? have gone to Greenpeace

Letter Lessons and First Words
Letter Lessons and First Words

Author: Heidi Anne Mesmer

Publisher: Heinemann Educational Books

Published: 2019

Total Pages: 240

ISBN-13: 9780325105444

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"This is part of the Research-Informed Classroom series and is about the importance of teaching phonics and language development in young children"--

Engaging Children with Print
Engaging Children with Print

Author: Laura M. Justice

Publisher: Guilford Publications

Published: 2013-12-17

Total Pages: 226

ISBN-13: 1462514839

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Preschool teachers and early childhood professionals know that storybook reading is important, but they may not know how to maximize its benefits for later reading achievement. This indispensable guide presents research-based techniques for using reading aloud to intentionally and systematically build children's knowledge of print. Simple yet powerful strategies are provided for teaching preschoolers about book and print organization, print meaning, letters, and words, all while sharing engaging, commercially available books. Appendices include a detailed book list and 60 reproducibles that feature activities and prompts keyed to each text.

Deep Learning
Deep Learning

Author: Ian Goodfellow

Publisher: MIT Press

Published: 2016-11-10

Total Pages: 801

ISBN-13: 0262337371

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.