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2015: After the sudden death of her troubled mother, struggling Harvard grad student Kate Drayton walks out on her lecture-- and her entire New England life. She flees to Charleston, South Carolina, the place where her parents met, convinced it holds the key to understanding her fractured family and saving her career in academia. Her mother was researching a failed 1822 slave revolt-- and Kate will continue her work. 1822: Tom Russell, a gifted blacksmith and slave, grappled with a terrible choice: arm the uprising spearheaded by members of the fiercely independent African Methodist Episcopal Church or keep his own neck out of the noose and protect the woman he loves.
"I too am not a bit tamed—I too am untranslatable / I sound my barbaric yawp over the roofs of the world."—Walt Whitman, "Song of Myself," Leaves of Grass The American Yawp is a free, online, collaboratively built American history textbook. Over 300 historians joined together to create the book they wanted for their own students—an accessible, synthetic narrative that reflects the best of recent historical scholarship and provides a jumping-off point for discussions in the U.S. history classroom and beyond. Long before Whitman and long after, Americans have sung something collectively amid the deafening roar of their many individual voices. The Yawp highlights the dynamism and conflict inherent in the history of the United States, while also looking for the common threads that help us make sense of the past. Without losing sight of politics and power, The American Yawp incorporates transnational perspectives, integrates diverse voices, recovers narratives of resistance, and explores the complex process of cultural creation. It looks for America in crowded slave cabins, bustling markets, congested tenements, and marbled halls. It navigates between maternity wards, prisons, streets, bars, and boardrooms. The fully peer-reviewed edition of The American Yawp will be available in two print volumes designed for the U.S. history survey. Volume I begins with the indigenous people who called the Americas home before chronicling the collision of Native Americans, Europeans, and Africans.The American Yawp traces the development of colonial society in the context of the larger Atlantic World and investigates the origins and ruptures of slavery, the American Revolution, and the new nation's development and rebirth through the Civil War and Reconstruction. Rather than asserting a fixed narrative of American progress, The American Yawp gives students a starting point for asking their own questions about how the past informs the problems and opportunities that we confront today.
This book is an introduction to the language and standard proof methods of mathematics. It is a bridge from the computational courses (such as calculus or differential equations) that students typically encounter in their first year of college to a more abstract outlook. It lays a foundation for more theoretical courses such as topology, analysis and abstract algebra. Although it may be more meaningful to the student who has had some calculus, there is really no prerequisite other than a measure of mathematical maturity.
Roz the robot discovers that she is alone on a remote, wild island with no memory of where she is from or why she is there, and her only hope of survival is to try to learn about her new environment from the island's hostile inhabitants.
The incredible story of the man behind TOMS Shoes and One for One, the revolutionary business model that marries fun, profit, and social good. “A creative and open-hearted business model for our times.”—The Wall Street Journal Why this book is for you: • You’re ready to make a difference in the world—through your own start-up business, a nonprofit organization, or a new project that you create within your current job. • You want to love your work, work for what you love, and have a positive impact on the world—all at the same time. • You’re inspired by charity: water, method, and FEED Projects and want to learn how these organizations got their start. • You’re curious about how someone who never made a pair of shoes, attended fashion school, or worked in retail created one of the fastest-growing footwear companies in the world by giving shoes away. • You’re looking for a new model of success to share with your children, students, co-workers, and members of your community. You’re ready to start something that matters.
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Includes the Aerial Warfare In Europe During World War II illustrations pack with over 180 maps, plans, and photos. Gen Henry H. “Hap.” Arnold, US Army Air Forces (AAF) Chief of Staff during World War II, maintained diaries for his several journeys to various meetings and conferences throughout the conflict. Volume 1 introduces Hap Arnold, the setting for five of his journeys, the diaries he kept, and evaluations of those journeys and their consequences. General Arnold’s travels brought him into strategy meetings and personal conversations with virtually all leaders of Allied forces as well as many AAF troops around the world. He recorded his impressions, feelings, and expectations in his diaries. Maj Gen John W. Huston, USAF, retired, has captured the essence of Henry H. Hap Arnold—the man, the officer, the AAF chief, and his mission. Volume 2 encompasses General Arnold’s final seven journeys and the diaries he kept therein.
A cat explains how he acquired and trained his Human and describes the happiness his Human brings him.
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.