eBook downloads, eBook resources & eBook authors
"Examines the new emphasis on text-dependent questions, rigor, and text complexity, and what it means to be literate in the 21st century"--P. [4] of cover.
"Nonfiction intrudes into our world and purports to tell the truth. To evaluate that truth, we need students to be sophisticated, skillful, and savvy readers. And that's why Kylene and Bob wrote Reading Nonfiction, a book that presents: 3 big questions that develop the stance needed for attentive reading; 5 signposts that help readers analyze and evaluate the author's craft; and 7 strategies that develop relevance and fix up confusions"--Back cover.
Kylene and Bob have designed these bookmarks to be at-hand guides as students closely read literary or nonfiction texts. One side contains the 6 signposts for literary texts from Notice & Note. The other side displays the 5 signposts for nonfiction texts from Reading Nonfiction. With each signpost is helpful advice on when to STOP in a text and what questions readers can ask themselves when they spot a signpost. Available in 30-count classroom packs, these durable bookmarks are printed on tough card stock to stand up to the rigors of school life.
"The essential element in rigor is engagement. If students are to read rigorously they must be committed to understanding some intriguing character, to solving some problem, to figuring out what a writer believes and how those thoughts compare with their own. The literary signposts in Notice and Note encourage this rigor. Now in the Notice and Note Literature Log, we share our signposts with students." -Kylene Beers and Robert E. Probst Notice and Note transformed how teachers help students read and analyze complex texts. Now a new Notice and Note Literature Log offers students practice finding the signposts-with over-the-shoulder coaching from Kylene and Bob. The first section of this interactive notebook offers students passages from popular novels in which they can practice-as a class or on their own-finding the Notice and Note signposts. Each practice passage is followed with comments from Bob and Kylene that explain to students what they read. These passages are perfect for minilessons the teacher might want to use to reinforce or reteach signpost lessons. In the second section, students log the books they are reading. In the final section, students have space to track their thinking and take notes on what they notice as they read novels for class or on their own. The Notice and Note Literature Log is more than a place where students can "note what they notice." Through its regular coaching commentary, this literature log offers students an opportunity, during independent reading, to read and learn with two master educators at their side. Save when you purchase the Literature Log in a 5-Pack. Learn more at Heinemann.com
From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together
About this Edition This 2021-2022 Digital Student Edition of Ayn Rand's Anthem was created for teachers and students receiving free novels from the Ayn Rand Institute, and includes a historic Q&A with Ayn Rand that cannot be found in any other edition of Anthem. In this Q&A from 1979, Rand responds to questions about Anthem sent to her by a high school classroom. About Anthem Anthem is Ayn Rand’s “hymn to man’s ego.” It is the story of one man’s rebellion against a totalitarian, collectivist society. Equality 7-2521 is a young man who yearns to understand “the Science of Things.” But he lives in a bleak, dystopian future where independent thought is a crime and where science and technology have regressed to primitive levels. All expressions of individualism have been suppressed in the world of Anthem; personal possessions are nonexistent, individual preferences are condemned as sinful and romantic love is forbidden. Obedience to the collective is so deeply ingrained that the very word “I” has been erased from the language. In pursuit of his quest for knowledge, Equality 7-2521 struggles to answer the questions that burn within him — questions that ultimately lead him to uncover the mystery behind his society’s downfall and to find the key to a future of freedom and progress. Anthem anticipates the theme of Rand’s first best seller, The Fountainhead, which she stated as “individualism versus collectivism, not in politics, but in man’s soul.”
Farah feels alone, even when surrounded by her classmates. She listens and nods but doesn’t speak. It’s hard being the new kid in school, especially when you’re from another country and don’t know the language. Then, on a field trip to an apple orchard, Farah discovers there are lots of things that sound the same as they did at home, from dogs crunching their food to the ripple of friendly laughter. As she helps the class make apple cider, Farah connects with the other students and begins to feel that she belongs. Ted Lewin’s gorgeous sun-drenched paintings and Eve Bunting’s sensitive text immediately put the reader into another child’s shoes in this timely story of a young Muslim immigrant.
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.
