”You’re either buried with your crystals or your shotgun.” That laconic comment captures the hippies-versus-hicks conflict that divides, and in some ways defines, modern-day homesteaders. It also reveals that back to-the-landers, though they may seek lives off the grid, remain connected to the most pressing questions confronting the United States today. Jason Strange shows where homesteaders fit, and don't fit, within contemporary America. Blending history with personal stories, Strange visits pig roasts and bohemian work parties to find people engaged in a lifestyle that offers challenge and fulfillment for those in search of virtues like self-employment, frugality, contact with nature, and escape from the mainstream. He also lays bare the vast differences in education and opportunity that leave some homesteaders dispossessed while charting the tensions that arise when people seek refuge from the ills of modern society—only to find themselves indelibly marked by the system they dreamed of escaping.

Called “an enduring literary achievement . . . astonishing” by The New York Times, this highly acclaimed debut novel from the Pulitzer Prize-winning author of Night Watch introduces the Hampsons, an ordinary, small-town American family profoundly affected by the extraordinary events of history—from the Depression to the Vietnam War. One of The Atlantic’s Great American Novels of the Past 100 Years Here is a stunning chronicle that is revealed in the thoughts, dreams, and memories of each member of the Hampson family. Mitch struggles to earn a living as Jeans becomes the main breadwinner, working to complete college and raise the family. While the couple fight to keep their marriage intact, their daughter Danner and son Billy forge a sibling bond of uncommon strength. When Billy goes off to Vietnam, Danner becomes the sole bond linking her family, whose dissolution mirrors the fractured state of America in the 1960s. Deeply felt and vividly imagined, this lyrical novel is "among the wisest of a generation to grapple with a war that maimed us all" (The Village Voice), by a master of contemporary fiction.

An investigation into the societal impact of intelligent, high-achieving women who are honing traditional homemaking skills traces emerging trends in sophisticated crafting, cooking and farming that are reshaping the roles of women.

Scientist Charles Neumann loses a leg in an industrial accident. It's not a tragedy. It's an opportunity. Charlie always thought his body could be better. He begins to explore a few ideas. To build parts. Better parts. Prosthetist Lola Shanks loves a good artificial limb. In Charlie, she sees a man on his way to becoming artificial everything. But others see a madman. Or a product. Or a weapon. A story for the age of pervasive technology, Machine Man is a gruesomely funny unraveling of one man's quest for ultimate self-improvement.

Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many. Machine Learning in Action is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you'll use in your day-to-day work. Many (Python) examples present the core algorithms of statistical data processing, data analysis, and data visualization in code you can reuse. You'll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification. Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's Inside A no-nonsense introduction Examples showing common ML tasks Everyday data analysis Implementing classic algorithms like Apriori and Adaboos Table of Contents PART 1 CLASSIFICATION Machine learning basics Classifying with k-Nearest Neighbors Splitting datasets one feature at a time: decision trees Classifying with probability theory: naïve Bayes Logistic regression Support vector machines Improving classification with the AdaBoost meta algorithm PART 2 FORECASTING NUMERIC VALUES WITH REGRESSION Predicting numeric values: regression Tree-based regression PART 3 UNSUPERVISED LEARNING Grouping unlabeled items using k-means clustering Association analysis with the Apriori algorithm Efficiently finding frequent itemsets with FP-growth PART 4 ADDITIONAL TOOLS Using principal component analysis to simplify data Simplifying data with the singular value decomposition Big data and MapReduce

WINNER OF THE INTERNATIONAL BOOKER PRIZE 2023 A GUARDIAN AND FINANCIAL TIMES BOOK OF THE YEAR 'The most exquisite kind of literature... I've put it on a special shelf in my library that I reserve for books that demand to be revisited every now and then. ' OLGA TOKARCZUK, author of Drive Your Plow Over the Bones of the Dead 'Could not be more timely... It's funny and absurd, but it's also frightening, because even as Gospodinov plays with the idea as fiction, the reader begins to recognise something rather closer to home... A writer of great warmth as well as skill' GUARDIAN 'In equal measure playful and profound, Time Shelter renders the philosophical mesmerizing, and the everyday extraordinary. I loved it' CLAIRE MESSUD, author of The Woman Upstairs 'A genrebusting novel of ideas... Gospodinov's vision of tomorrow is the nightmare from which Europe knows it must awake. And accident, in combination with the book's own merits, may just have created a classic' THE TIMES 'Gospodinov is one of Europe's most fascinating and irreplaceable novelists, and this his most expansive, soulful and mind-bending book' DAVE EGGERS, author of The Circle 'Touching and intelligent' NEW YORK TIMES 'A powerful and brilliant novel: clear-sighted, foreboding, enigmatic' SANDRO VERONESI, author of The Hummingbird 'An immensely enjoyable book which achieves depth with an affable narrative voice' IRISH TIMES In Time Shelter, an enigmatic flâneur named Gaustine opens a 'clinic for the past' that offers a promising treatment for Alzheimer's sufferers: each floor reproduces a decade in minute detail, transporting patients back in time. As Gaustine's assistant, the unnamed narrator is tasked with collecting the flotsam and jetsam of the past, from 1960s furniture and 1940s shirt buttons to scents and even afternoon light. But as the rooms become more convincing, an increasing number of healthy people seek out the clinic as a 'time shelter', hoping to escape from the horrors of our present - a development that results in an unexpected conundrum when the past begins to invade the present. Intricately crafted, and eloquently translated by Angela Rodel, Time Shelter cements Georgi Gospodinov's reputation as one of the indispensable writers of our times, a major voice in international literature. Georgi Gospodinov is one of Europe's most acclaimed writers. Originally from Bulgaria, his novels have won his country's most prestigious literary prize twice and have been shortlisted for more than a dozen international prizes - including the 2015 PEN Literary Award for Translation, the Premio Gregor von Rezzori, the Premio Strega Europeo, the Bruecke Berlin Preis, and the Haus der Kulturen der Welt Literaturpreis. He has won the 2016 Jan Michalski Prize for Literature, the 2019 Angelus Literature Central Europe Prize and the 2021 Premio Strega Europeo, among others.

Heroes are all around us: people who help others stay safe and well, and protect our homes and businesses. Includes fun facts.