Envision in Depth: Reading, Writing, and Researching Arguments is a combined rhetoric and reader intended for composition courses focusing on argumentation and research-based writing. Taking contemporary culture as its central theme and context, Envision in Depth is concerned with the fundamentals of analyzing and writing powerful, effective arguments. Students using Envision in Depth will learn how to analyze and compose arguments, design and conduct research projects, and produce persuasive visual and oral presentations in response to over 100 contemporary arguments in a wide range of verbal and visual genres."
For courses in Argument. This version of Envision: Writing and Researching Arguments has been updated to reflect the 8th Edition of the MLA Handbook (April 2016)* Explores writing, rhetoric, and research by considering the different modes of argument in contemporary culture A concise and practical guide, Envision: Writing and Researching Arguments, Fifth Edition is ideal for composition courses focusing on argumentation and research-based writing. Each chapter uses interactive and engaging lessons, and focuses both on analyzing and producing words (print materials, articles, blog posts, and even tweets) as well as on writing about images and other contemporary media (cartoons, ads, photographs, films, video games, websites, and more). In this way, it teaches critical literacy about all kinds of texts. Additionally, numerous student writing examples and professional, published readings-both with annotations-are provided to reinforce the writing lessons in each chapter and to demonstrate how students might successfully implement such strategies in their own texts. Students using Envision will learn how to analyze and compose arguments, design and conduct research projects, and produce persuasive visual and oral presentations. * The 8th Edition introduces sweeping changes to the philosophy and details of MLA works cited entries. Responding to the "increasing mobility of texts," MLA now encourages writers to focus on the process of crafting the citation, beginning with the same questions for any source. These changes, then, align with current best practices in the teaching of writing which privilege inquiry and critical thinking over rote recall and rule-following.
A richly-illustrated, full-color introduction to deep learning that offers visual and conceptual explanations instead of equations. You'll learn how to use key deep learning algorithms without the need for complex math. Ever since computers began beating us at chess, they've been getting better at a wide range of human activities, from writing songs and generating news articles to helping doctors provide healthcare. Deep learning is the source of many of these breakthroughs, and its remarkable ability to find patterns hiding in data has made it the fastest growing field in artificial intelligence (AI). Digital assistants on our phones use deep learning to understand and respond intelligently to voice commands; automotive systems use it to safely navigate road hazards; online platforms use it to deliver personalized suggestions for movies and books - the possibilities are endless. Deep Learning: A Visual Approach is for anyone who wants to understand this fascinating field in depth, but without any of the advanced math and programming usually required to grasp its internals. If you want to know how these tools work, and use them yourself, the answers are all within these pages. And, if you're ready to write your own programs, there are also plenty of supplemental Python notebooks in the accompanying Github repository to get you going. The book's conversational style, extensive color illustrations, illuminating analogies, and real-world examples expertly explain the key concepts in deep learning, including: • How text generators create novel stories and articles • How deep learning systems learn to play and win at human games • How image classification systems identify objects or people in a photo • How to think about probabilities in a way that's useful to everyday life • How to use the machine learning techniques that form the core of modern AI Intellectual adventurers of all kinds can use the powerful ideas covered in Deep Learning: A Visual Approach to build intelligent systems that help us better understand the world and everyone who lives in it. It's the future of AI, and this book allows you to fully envision it. Full Color Illustrations
2014 Christy Award winner! Darek Christiansen is almost a dream bachelor—oldest son in the large Christiansen clan, heir to their historic Evergreen Lake Resort, and doting father. But he’s also wounded and angry since the tragic death of his wife, Felicity. No woman in Deep Haven dares come near. New assistant county attorney Ivy Madison simply doesn’t know any better when she bids on Darek at the charity auction. Nor does she know that when she crafted a plea bargain three years ago to keep Jensen Atwood out of jail and in Deep Haven fulfilling community service, she was releasing the man responsible for Felicity’s death. All Ivy knows is that the Christiansens feel like the family she’s always longed for. And once she gets past Darek’s tough exterior, she finds a man she could spend the rest of her life with. Which scares her almost as much as Darek learning of her involvement in his wife’s case. Caught between new love and old grudges, Darek must decide if he can set aside the past for a future with Ivy—a future more and more at risk as an approaching wildfire threatens to wipe out the Christiansen resort and Deep Haven itself.
How will AI change our world within twenty years? A pioneering technologist and acclaimed writer team up for a “dazzling” (The New York Times) look at the future that “brims with intriguing insights” (Financial Times). This edition includes a new foreword by Kai-Fu Lee. A BEST BOOK OF THE YEAR: The Wall Street Journal, The Washington Post, Financial Times Long before the advent of ChatGPT, Kai-Fu Lee and Chen Qiufan understood the enormous potential of artificial intelligence to transform our daily lives. But even as the world wakes up to the power of AI, many of us still fail to grasp the big picture. Chatbots and large language models are only the beginning. In this “inspired collaboration” (The Wall Street Journal), Lee and Chen join forces to imagine our world in 2041 and how it will be shaped by AI. In ten gripping, globe-spanning short stories and accompanying commentary, their book introduces readers to an array of eye-opening settings and characters grappling with the new abundance and potential harms of AI technologies like deep learning, mixed reality, robotics, artificial general intelligence, and autonomous weapons.
"The best book on high school dynamics I have ever read."--Jay Mathews, Washington Post An award-winning professor and an accomplished educator take us beyond the hype of reform and inside some of America's most innovative classrooms to show what is working--and what isn't--in our schools. What would it take to transform industrial-era schools into modern organizations capable of supporting deep learning for all? Jal Mehta and Sarah Fine's quest to answer this question took them inside some of America's most innovative schools and classrooms--places where educators are rethinking both what and how students should learn. The story they tell is alternately discouraging and hopeful. Drawing on hundreds of hours of observations and interviews at thirty different schools, Mehta and Fine reveal that deeper learning is more often the exception than the rule. And yet they find pockets of powerful learning at almost every school, often in electives and extracurriculars as well as in a few mold-breaking academic courses. These spaces achieve depth, the authors argue, because they emphasize purpose and choice, cultivate community, and draw on powerful traditions of apprenticeship. These outliers suggest that it is difficult but possible for schools and classrooms to achieve the integrations that support deep learning: rigor with joy, precision with play, mastery with identity and creativity. This boldly humanistic book offers a rich account of what education can be. The first panoramic study of American public high schools since the 1980s, In Search of Deeper Learning lays out a new vision for American education--one that will set the agenda for schools of the future.
Having a clear, compelling vision--and getting buy-in from your team--is essential to effective leadership. If you don't know where you're going, how on earth will you get there? But how do you craft that vision? How do you get others on board? And how do you put that vision into practice at every level of your organization? In The Vision Driven Leader, New York Times bestselling author Michael Hyatt offers six tools for crafting an irresistible vision for your business, rallying your team around the vision, and distilling it into actionable plans that drive results. Based on Michael's 40 years of experience as an entrepreneur and executive, backed by insights from organizational science and psychology, and illustrated by case studies and stories from multiple industries, The Vision Driven Leader takes you step-by-step from why to what and then how. Your business will never be the same.
For college courses in Composition and Rhetoric. This version of Backpack Writing has been updated to reflect the 8th Edition of the MLA Handbook (April 2016)* Revealing the writing process through interactive learning Backpack Writing, 4th Edition presents writing, reading, and research processes dynamically, using a variety of visuals to illustrate how readers interact with texts and how writers compose. One of the first textbook authors to focus on multimedia composing, Lester Faigley employs his own advice to engage students in every step of the writing process--for both college composition and everyday life--and pulls back the curtain on how writers work. Aligned with the learning goals for a first-year college writing course identified in the 2014 Outcomes Statement from the Council of Writing Program Administrators, Backpack Writing gives students the support they need to succeed in first-year composition, in their other courses, and in their careers. * The 8th Edition introduces sweeping changes to the philosophy and details of MLA works cited entries. Responding to the "increasing mobility of texts," MLA now encourages writers to focus on the process of crafting the citation, beginning with the same questions for any source. These changes, then, align with current best practices in the teaching of writing which privilege inquiry and critical thinking over rote recall and rule-following.
