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"There's something in the air, but it isn't love." Apocalyptic forces both real and imaginary loom large in this sprawling novel set in 2012 New York City. Ray, an Ivy League grad and struggling fledgling journalist, is a few weeks into trying to make ends meet as a bicycle courier when he mounts an investigation to solve the mystery of his own death. Along the way, he strikes up a strange romance with Haruka—a young woman seeking self-empowerment through a malevolent form of online dating—and finds himself taken under the wing of an exalted, aging academic, Emerson, whose Virgil-like guidance might not be all that it seems. Equal parts zany existential detective story, scathing Web 2.0 sendup, and poignant elegy for what was lost in the smartphone revolution, In Limbo asks critical psychological and spiritual questions about what it means to be alive— and human— in the 21st century.
Roy Aron stepped off a sun-kissed beach and plunged into the fiery pits of hell. He had a life-altering vision. To actualize his epiphany, he metaphorically descended the bowels of hell to grapple with man’s ruinous frailties. He followed in the footsteps of Dante Alighieri as he witnessed each of the nine sins: limbo, lust, gluttony, greed, wrath, heresy, violence, fraud and treachery. He came upon unexpected and macabre sagas, engaged in intriguing and enthralling events, which bore testimony to all that these sins manifest, and observed how the sinners end up sundering devastation around them. After observing the lowest of lows, he pulled himself out of these depths and vowed to fight the intoxicating attraction of sin. Roy undertook this odyssey, again and again, every year to make himself a better husband, a better father and a better human being. Journey with him through the heart of darkness, live through these bizarre and metamorphic incidents and emerge in the sunshine of hope.
Introduction to Machine Learning with Applications in Information Security, Second Edition provides a classroom-tested introduction to a wide variety of machine learning and deep learning algorithms and techniques, reinforced via realistic applications. The book is accessible and doesn’t prove theorems, or dwell on mathematical theory. The goal is to present topics at an intuitive level, with just enough detail to clarify the underlying concepts. The book covers core classic machine learning topics in depth, including Hidden Markov Models (HMM), Support Vector Machines (SVM), and clustering. Additional machine learning topics include k-Nearest Neighbor (k-NN), boosting, Random Forests, and...
A rising star at one of the world's preeminent investment banks recounts his power hungry and sex-crazed youth in this outrageous, satirical bildungsroman. From childhood dreams of playing in the NFL to a career on Wall Street playing with middle class pensions—and the schoolyard brawls, love triangles, rock club showcases, and frat house feuds in between—Frank Parker will do whatever it takes to stay on top, however desperate. In Alpha, A.D. Aliwat offers a mesmerizing look inside the mind of a predator as pitiable as he is terrifying and a critical examination of what it takes to really make it in America.
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