House of Leaves

House of Leaves

Author: Mark Z. Danielewski

Publisher: Pantheon

Published: 2000-03-07

Total Pages: 738

ISBN-13: 0375420525

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“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.


Unchosen

Unchosen

Author: Katharyn Blair

Publisher: HarperCollins

Published: 2021-01-26

Total Pages: 343

ISBN-13: 0062657666

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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.


Bombshells

Bombshells

Author: Sarina Bowen

Publisher: Tuxbury Publishing LLC

Published: 2021-04-13

Total Pages: 328

ISBN-13: 1950155234

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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.


An Introduction to Statistical Learning

An Introduction to Statistical Learning

Author: Gareth James

Publisher: Springer Nature

Published: 2023-08-01

Total Pages: 617

ISBN-13: 3031387473

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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.


R for Data Science

R for Data Science

Author: Hadley Wickham

Publisher: "O'Reilly Media, Inc."

Published: 2016-12-12

Total Pages: 521

ISBN-13: 1491910364

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Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results


The Power of the Dog

The Power of the Dog

Author: Thomas Savage

Publisher: Little, Brown

Published: 2009-09-26

Total Pages: 252

ISBN-13: 0316082708

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Now an Academy Award-winning Netflix film by Jane Campion, starring Benedict Cumberbatch and Kirsten Dunst: Thomas Savage's acclaimed Western is "a pitch-perfect evocation of time and place" (Boston Globe) for fans of East of Eden and Brokeback Mountain. Set in the wide-open spaces of the American West, The Power of the Dog is a stunning story of domestic tyranny, brutal masculinity, and thrilling defiance from one of the most powerful and distinctive voices in American literature. The novel tells the story of two brothers — one magnetic but cruel, the other gentle and quiet — and of the mother and son whose arrival on the brothers’ ranch shatters an already tenuous peace. From the novel’s startling first paragraph to its very last word, Thomas Savage’s voice — and the intense passion of his characters — holds readers in thrall. "Gripping and powerful...A work of literary art." —Annie Proulx, from her afterword


Deep Learning

Deep Learning

Author: Ian Goodfellow

Publisher: MIT Press

Published: 2016-11-10

Total Pages: 801

ISBN-13: 0262337371

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An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.


The Rust Programming Language (Covers Rust 2018)

The Rust Programming Language (Covers Rust 2018)

Author: Steve Klabnik

Publisher: No Starch Press

Published: 2019-09-03

Total Pages: 561

ISBN-13: 1718500459

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The official book on the Rust programming language, written by the Rust development team at the Mozilla Foundation, fully updated for Rust 2018. The Rust Programming Language is the official book on Rust: an open source systems programming language that helps you write faster, more reliable software. Rust offers control over low-level details (such as memory usage) in combination with high-level ergonomics, eliminating the hassle traditionally associated with low-level languages. The authors of The Rust Programming Language, members of the Rust Core Team, share their knowledge and experience to show you how to take full advantage of Rust's features--from installation to creating robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables and then move on to more advanced concepts, such as: Ownership and borrowing, lifetimes, and traits Using Rust's memory safety guarantees to build fast, safe programs Testing, error handling, and effective refactoring Generics, smart pointers, multithreading, trait objects, and advanced pattern matching Using Cargo, Rust's built-in package manager, to build, test, and document your code and manage dependencies How best to use Rust's advanced compiler with compiler-led programming techniques You'll find plenty of code examples throughout the book, as well as three chapters dedicated to building complete projects to test your learning: a number guessing game, a Rust implementation of a command line tool, and a multithreaded server. New to this edition: An extended section on Rust macros, an expanded chapter on modules, and appendixes on Rust development tools and editions.