I ask you, why do weird things always happen to me? Thirteen-year-old Dana Shannon is no stranger to intrigue. Not long ago she discovered a skeleton behind a wall in her family's house -- a house in Lawrence, Kansas, that was once owned by a Quaker family, the Weavers. The diary Dana found in the sealed-off room revealed that the skeleton belonged to a runaway slave named Lizbeth Charles. Now Dana's house is a newly refurbished bed-and-breakfast, and the first guests are two shady characters who believed the house is hiding another secret. When Dana gets in their way, she becomes embroiled in a second mystery, this one involving slaves and the Weavers again, and -- somehow - Delaware Indians. As Dana tried to fit the puzzle pieces together, alternate chapters tell the story of James Baylor Weaver, a thirteen-year-old boy, in 1857. It is up to James to fulfill a promise Lizbeth made before her death. He must travel hundreds of miles to retrieve four slaves and bring them to freedom. The journey will test his strength, endurance, and courage; it will also test his character, when he has to make a terrible choice... Readers of Soon Be Free will quickly be caught up in this fast-paced mystery-adventure that links teenagers from two different centuries.

A landmark book in the debate over free will that makes the case for compatibilism. In this landmark 1984 work on free will, Daniel Dennett makes a case for compatibilism. His aim, as he writes in the preface to this new edition, was a cleanup job, “saving everything that mattered about the everyday concept of free will, while jettisoning the impediments.” In Elbow Room, Dennett argues that the varieties of free will worth wanting—those that underwrite moral and artistic responsibility—are not threatened by advances in science but distinguished, explained, and justified in detail. Dennett tackles the question of free will in a highly original and witty manner, drawing on the theories and concepts of fields that range from physics and evolutionary biology to engineering, automata theory, and artificial intelligence. He shows how the classical formulations of the problem in philosophy depend on misuses of imagination, and he disentangles the philosophical problems of real interest from the “family of anxieties” in which they are often enmeshed—imaginary agents and bogeymen, including the Peremptory Puppeteer, the Nefarious Neurosurgeon, and the Cosmic Child Whose Dolls We Are. Putting sociobiology in its rightful place, he concludes that we can have free will and science too. He explores reason, control and self-control, the meaning of “can” and “could have done otherwise,” responsibility and punishment, and why we would want free will in the first place. A fresh reading of Dennett's book shows how much it can still contribute to current discussions of free will. This edition includes as its afterword Dennett's 2012 Erasmus Prize essay.

The Aim of this series is to bring together important recent writings in major areas of philosophical inquiry, selected from a variety of sources, mostly periodicals, which may not be conveniently available to the university students or the general reader.

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.

An Ancient Evil A Promised King A World Besieged Mhorag’s name is whispered in every land. For some there is no greater dread; for others no greater hope. But in this new age of rage and wonder, what is hope? In growing darkness, Sgarrwrath’s quest for domination of the world is interrupted by these whispers and prayers, and stars aligning to reveal the Living Flame. All hangs in the balance as the forbidden desire that started it all culminates in a battle of wills that will darken the stars, shatter the Sun and raise the dead.

The online economy offers challenges to traditional businesses as well as incredible opportunities. Chris Anderson makes the compelling case that in many instances businesses can succeed best by giving away more than they charge for. Known as "Freemium," this combination of free and paid is emerging as one of the most powerful digital business models. In Free, Chris Anderson explores this radical idea for the new global economy and demonstrates how it can be harnessed for the benefit of consumers and businesses alike. In the twenty-first century, Free is more than just a promotional gimmick: It's a business strategy that is essential to a company's successful future.

Popular Mechanics inspires, instructs and influences readers to help them master the modern world. Whether it’s practical DIY home-improvement tips, gadgets and digital technology, information on the newest cars or the latest breakthroughs in science -- PM is the ultimate guide to our high-tech lifestyle.