“A novelistic mosaic that simultaneously reads like a thriller and like a strange, dreamlike excursion into the subconscious.” —The New York Times Years ago, when House of Leaves was first being passed around, it was nothing more than a badly bundled heap of paper, parts of which would occasionally surface on the Internet. No one could have anticipated the small but devoted following this terrifying story would soon command. Starting with an odd assortment of marginalized youth -- musicians, tattoo artists, programmers, strippers, environmentalists, and adrenaline junkies -- the book eventually made its way into the hands of older generations, who not only found themselves in those strangely arranged pages but also discovered a way back into the lives of their estranged children. Now this astonishing novel is made available in book form, complete with the original colored words, vertical footnotes, and second and third appendices. The story remains unchanged, focusing on a young family that moves into a small home on Ash Tree Lane where they discover something is terribly wrong: their house is bigger on the inside than it is on the outside. Of course, neither Pulitzer Prize-winning photojournalist Will Navidson nor his companion Karen Green was prepared to face the consequences of that impossibility, until the day their two little children wandered off and their voices eerily began to return another story -- of creature darkness, of an ever-growing abyss behind a closet door, and of that unholy growl which soon enough would tear through their walls and consume all their dreams.

Katharyn Blair crafts a fiercely feminist fantasy with a horrifying curse, swoon-worthy sea captains, and the power of one girl to choose her own fate in this contemporary standalone adventure that's perfect for fans of The Fifth Wave and Seafire, and for anyone who has ever felt unchosen. For Charlotte Holloway, the world ended twice. The first was when her childhood crush, Dean, fell in love—with her older sister. The second was when the Crimson, a curse spread through eye contact, turned the majority of humanity into flesh-eating monsters. Neither end of the world changed Charlotte. She’s still in the shadows of her siblings. Her popular older sister, Harlow, now commands forces of survivors. And her talented younger sister, Vanessa, is the Chosen One—who, legend has it, can end the curse. When their settlement is raided by those seeking the Chosen One, Charlotte makes a reckless decision to save Vanessa: she takes her place as prisoner. The word spreads across the seven seas—the Chosen One has been found. But when Dean’s life is threatened and a resistance looms on the horizon, the lie keeping Charlotte alive begins to unravel. She’ll have to break free, forge new bonds, and choose her own destiny if she has any hope of saving her sisters, her love, and maybe even the world. Because sometimes the end is just a new beginning.

The women’s league is in the house! And Brooklyn will never be the same again for Anton Bayer and the team… This is my last chance to ditch my playboy reputation and finally fulfill my potential. So I’ve made three rules for our biggest season yet: no boozing, no women, and no scandals. Especially that last thing. So who do I befriend on the very first day back at the rink? An amazing female hockey player. I want Sylvie in a way that’s more than just friendly. I crave her. But I have a championship to win, and so does she. Then she gets her heart broken by my teammate, and I make the foolish mistake of comforting her in the best way I know how. Our night together sets off a string of sins. Nobody can know about our affair, especially my overprotective teammate. I can’t let anyone see into my greedy little heart. Not even her. The things I want from her, and the things we’ve already done? If anyone knew, there’d be bombshells. Contains: a defenseman with dreamy blue eyes, a female goalie with bad ideas, a major battle of the sexes and a swimming pool scene... **********Readers also enjoyed books by: Helena Hunting, Elle Kennedy, Ali Hazelwood, Tessa Bailey, Colleen Hoover, Lauren Blakely, Kristen Callihan, Corinne Michaels, Jana Aston, Karina Halle, Meghan March, Jay Crownover, Anna Todd, Jami Davenport, Audrey Carlan, Jill Shalvis, Helen Hoang, Christina Lauren, Sally Thorne, Vi Keeland, Penelope Ward, Debbie Macomber, Nora Roberts, Maisey Yates, Sarah Mayberry, Elle Kennedy, Lauren Blakely, Susan Mallery, Penny Reid, Julia Kent, Kelly Jamieson, Melanie Harlow, Carrie Ann Ryan, Kendall Ryan, Kennedy Ryan, Helen Hardt, Meghan March, Julia Kent, Meli Raine, Sylvia Day, Chelle Bliss, Brenda Rothert, Natasha Madison, Kylie Scott, Sloane Kennedy, Penelope Sky, Elle Kennedy, K.A. Linde, Jami Davenport, Jaci Burton, Penelope Sky, Helen Hardt, E.L. James, Anna Todd, Chelle Bliss, Kendall Ryan, K Webster, Sierra Simone, Mia Sosa, Kat Mizera.

Provides worked-out solutions to odd-numbered exercises.

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance, marketing, and astrophysics in the past twenty years. This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree-based methods, support vector machines, clustering, deep learning, survival analysis, multiple testing, and more. Color graphics and real-world examples are used to illustrate the methods presented. This book is targeted at statisticians and non-statisticians alike, who wish to use cutting-edge statistical learning techniques to analyze their data. Four of the authors co-wrote An Introduction to Statistical Learning, With Applications in R (ISLR), which has become a mainstay of undergraduate and graduate classrooms worldwide, as well as an important reference book for data scientists. One of the keys to its success was that each chapter contains a tutorial on implementing the analyses and methods presented in the R scientific computing environment. However, in recent years Python has become a popular language for data science, and there has been increasing demand for a Python-based alternative to ISLR. Hence, this book (ISLP) covers the same materials as ISLR but with labs implemented in Python. These labs will be useful both for Python novices, as well as experienced users.

* HUGO AWARD WINNER: BEST NOVELLA * NEBULA AND LOCUS AWARDS WINNER: BEST NOVELLA * “[An] exquisitely crafted tale...Part epistolary romance, part mind-blowing science fiction adventure, this dazzling story unfolds bit by bit, revealing layers of meaning as it plays with cause and effect, wildly imaginative technologies, and increasingly intricate wordplay...This short novel warrants multiple readings to fully unlock its complexities.” —Publishers Weekly (starred review) From award-winning authors Amal El-Mohtar and Max Gladstone comes an enthralling, romantic novel spanning time and space about two time-traveling rivals who fall in love and must change the past to ensure their future. Among the ashes of a dying world, an agent of the Commandment finds a letter. It reads: Burn before reading. Thus begins an unlikely correspondence between two rival agents hellbent on securing the best possible future for their warring factions. Now, what began as a taunt, a battlefield boast, becomes something more. Something epic. Something romantic. Something that could change the past and the future. Except the discovery of their bond would mean the death of each of them. There’s still a war going on, after all. And someone has to win. That’s how war works, right? Cowritten by two beloved and award-winning sci-fi writers, This Is How You Lose the Time War is an epic love story spanning time and space.