"The inside story of a single Brooklyn gang that killed more Americans than the Iraqi army."—Mike McAlary, columnist, New York Post They were the DeMeo gang—the most deadly hit men in organized crime. Their Mafia higher-ups came to know, use, and ultimately fear them as the Murder Machine. They killed for profit and for pleasure, following cold-blooded plans and wild whims, from the mean streets of New York to the Florida Gold Coast, and from coast to coast. Now complete with personal revelations of one of the key players, this is the savage story that leaves no corpse unturned in its terrifying telling. INCLUDES PHOTOGRAPHS

As the events of DARK NIGHTS: METAL rock the DC Universe, the creatures of the Dark Multiverse stand ready to invade our world! How can even the World's Greatest Heroes stop a horde of deadly beings that appear to be powerful, nightmare versions of familiar figures?

Kirth Gersen, having brought arch-villain Malagate the Woe to justice, sets his sights on Kokor Hekkus, another of the Demon Princes. The name Kokor Hekkus, which means "killing machine" in the language of the planet Thamber, does not refer to Hekkus's own predilection for homicide, but to his fondness for horrific and murderous devices, including the giant robotic executioner that first gained him his nickname. As a boy, Kirth Gersen survived a raid on his home planet masterminded by five interstellar crime lords known as the Demon Princes. This five-novel sequence recounts his carefully-planned and implacable revenge. In this, the second volume, his target is Kokor Hekkus, better known as the Killing Machine. All Jack Vance titles in the SFGateway use the author's preferred texts, as restored for the Vance Integral Edition (VIE), an extensive project masterminded by an international online community of Vance's admirers. In general, we also use the VIE titles, and have adopted the arrangement of short story collections to eliminate overlaps.

He was a little-known wiseguy out of Howard Beach, Queens, who blasted his way into the public eye with the assassination of Gambino Family boss Paul Castellano in December 1985, a rubout that’s the stuff of Mafia legend. Ruthless, cunning, and tougher than the streets that produced him, John Gotti seized control of the nation’s most powerful crime family, beat the law on rap after rap, and became an American legend. First published in 1988 and fully revised and updated for this edition, Mob Star traced John Gotti’s spectacular rise and eventual downfall after the betrayal of his closest ally, Salvatore “Sammy Bull” Gravano. At his death, ten years after he was jailed for life and four years after he began battling cancer, John Gotti was still the biggest name in today’s Mafia.

A suspenseful, emotionally charged real-life Sopranos: The son of New York's most notorious Mafia killer reveals the conflicted life he led being raised by a cold-blooded murderer, who was also a devoted family man, and the wrenching legacy of Mafia family life. Al DeMeo will never forget the day in 1992 when a coworker, a fellow trader at the New York Stock Exchange, taunted him with a copy of the hot new book Murder Machine, chronicling the horrific criminal life of DeMeo's father, Roy, the head of the most deadly gang in organized crime. The moment sent DeMeo into a psychological tailspin: How could he have spent his life looking up to, and loving, a vicious killer? For the Sins of My Father recounts the chilling rise and fall of the man who led the Gambino family's most fearsome killers and thieves, through the eyes of a son who had never known any other kind of life. Coming of age in an opulent Long Island house where money is abundant but its source is unclear, Al becomes Roy's confidant, sent to call in loans at age fourteen and gradually coming to understand his father's job description--loan shark, car thief, porn purveyor and, above all, murderer. But when Al is seventeen, Roy's body is found in the trunk of a car, a gangland slaying that places Al between federal prosecutors seeking his testimony and a mob crew determined to keep him quiet. Desperate to abide by the father-son bond, but equally determined to escape his father's dangerous and doomed life, Al Demeo embarks on a courageous quest for the truth, reconciliation, and honor. With the implacable narrative drive of a thriller and the power of a painfully honest memoir, For the Sins of My Father presents a startling and unprecedented perspective on the underworld of organized crime, exposing for the first time the cruel legacy of a Mafia life.

MACHINE OF DEATH tells thirty-four different stories about people who know how they will die. Prepare to have your tears jerked, your spine tingled, your funny bone tickled, your mind blown, your pulse quickened, or your heart warmed. Or better yet, simply prepare to be surprised. Because even when people do have perfect knowledge of the future, there's no telling exactly how things will turn out.

An account and analysis of the systematic murder of women and girls in the Mexican border town of Ciudad Juárez. In Ciudad Juarez, a territorial power normalized barbarism. This anomalous ecology mutated into a femicide machine: an apparatus that didn't just create the conditions for the murders of dozens of women and little girls, but developed the institutions that guarantee impunity for those crimes and even legalize them. A lawless city sponsored by a State in crisis. The facts speak for themselves. —from The Femicide Machine Best known to American readers for his cameo appearances as The Journalist in Roberto Bolano's 2666 and as a literary detective in Javier Marías's novel Dark Back of Time, Sergio González Rodríguez is one of Mexico's most important contemporary writers. He is the author of Bones in the Desert, the most definitive work on the murders of women and girls in Juárez, Mexico, as well as The Headless Man, a sharp meditation on the recurrent uses of symbolic violence; Infectious, a novel; and Original Evil, a long essay. The Femicide Machine is the first book by González Rodríguez to appear in English translation. Written especially for Semiotext(e) Intervention series, The Femicide Machine synthesizes González Rodríguez's documentation of the Juárez crimes, his analysis of the unique urban conditions in which they take place, and a discussion of the terror techniques of narco-warfare that have spread to both sides of the border. The result is a gripping polemic. The Femicide Machine probes the anarchic confluence of global capital with corrupt national politics and displaced, transient labor, and introduces the work of one of Mexico's most eminent writers to American readers.

A New York Times and USA Today Bestseller Winner: 2018 Hugo Award for Best Novella Winner: 2018 Nebula Award for Best Novella Winner: 2018 Alex Award Winner: 2018 Locus Award One of the Verge's Best Books of 2017 A murderous android discovers itself in All Systems Red, a tense science fiction adventure by Martha Wells that interrogates the roots of consciousness through Artificial Intelligence. "As a heartless killing machine, I was a complete failure." In a corporate-dominated spacefaring future, planetary missions must be approved and supplied by the Company. Exploratory teams are accompanied by Company-supplied security androids, for their own safety. But in a society where contracts are awarded to the lowest bidder, safety isn’t a primary concern. On a distant planet, a team of scientists are conducting surface tests, shadowed by their Company-supplied ‘droid — a self-aware SecUnit that has hacked its own governor module, and refers to itself (though never out loud) as “Murderbot.” Scornful of humans, all it really wants is to be left alone long enough to figure out who it is. But when a neighboring mission goes dark, it's up to the scientists and their Murderbot to get to the truth. The Murderbot Diaries All Systems Red Artificial Condition Rogue Protocol Exit Strategy Network Effect Fugitive Telemetry System Collapse At the Publisher's request, this title is being sold without Digital Rights Management Software (DRM) applied.

Today, machine learning is being applied to a growing variety of problems in a bewildering variety of domains. A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to a concrete, real world problem. This book tackles this challenge through model-based machine learning which focuses on understanding the assumptions encoded in a machine learning system and their corresponding impact on the behaviour of the system. The key ideas of model-based machine learning are introduced through a series of case studies involving real-world applications. Case studies play a central role because it is only in the context of applications that it makes sense to discuss modelling assumptions. Each chapter introduces one case study and works through step-by-step to solve it using a model-based approach. The aim is not just to explain machine learning methods, but also showcase how to create, debug, and evolve them to solve a problem. Features: Explores the assumptions being made by machine learning systems and the effect these assumptions have when the system is applied to concrete problems. Explains machine learning concepts as they arise in real-world case studies. Shows how to diagnose, understand and address problems with machine learning systems. Full source code available, allowing models and results to be reproduced and explored. Includes optional deep-dive sections with more mathematical details on inference algorithms for the interested reader.