Shelter From The Machine

”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.

A photo essay tracing the history and development of aircraft from hot-air balloons to jetliners. Includes information on the principles of flight and the inner workings of various flying machines.

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.

"The Machine Stops" by E.M. Forster, now presented in a beautifully illustrated edition, is a visionary and thought-provoking novella that explores the perils of technological dependency and the potential consequences of a society overly reliant on machines. Set in a future where humanity lives underground, isolated in individual cells, their every need attended to by an all-encompassing Machine, the story follows Vashti, a lecturer and true believer in the Machine's omnipotence. However, as the Machine begins to show signs of malfunction, Vashti's worldview is challenged, leading to a series of events that question the very foundations of her society. "The Machine Stops" remains a compelling exploration of the dangers of sacrificing human connections for the convenience of technology. This illustrated edition provides a fresh perspective on Forster's timeless work, making it an engaging and visually captivating experience for both new and returning readers.

Meet some truly extreme machines--the ones that take winter on and WIN! Get up close and personal with Zamboni machines, giant ice breakers, extreme snow plows, train plows and rotators, snow-making and grooming equipment, snowmobiles, snow cats, deicers and more! Cool colour photos and spot illustrations of these awesome vehicles are complemented by fun facts!

Examines how information technologies are affecting jobs, skills, wages, and the economy.

Machine learning applications perform better with human feedback. Keeping the right people in the loop improves the accuracy of models, reduces errors in data, lowers costs, and helps you ship models faster. Human-in-the-loop machine learning lays out methods for humans and machines to work together effectively. You'll find best practices on selecting sample data for human feedback, quality control for human annotations, and designing annotation interfaces. You'll learn to dreate training data for labeling, object detection, and semantic segmentation, sequence labeling, and more. The book starts with the basics and progresses to advanced techniques like transfer learning and self-supervision within annotation workflows.