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Machine Learning for Hackers
If you’re an experienced programmer interested in crunching data, this book will get you started with machine learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ...
Bandit Algorithms for Website Optimization
When looking for ways to improve your website, how do you decide which changes to make? And which changes to keep? This concise book shows you how to use Multiarmed Bandit algorithms to measure the real-world value of any modifications you make to your site. Author John Myles White shows you how this powerful class of algorithms can help you boost website traffic, convert visitors to customers, and increase many other measures of success. This is the first developer-focused book on bandit algorithms, which were previously described only in research papers. You’ll quickly learn the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through code examples written in Python, which you can easily adapt for deployment on your own website. Learn the basics of A/B testing—and recognize when it’s better to use bandit algorithms Develop a unit testing framework for debugging bandit algorithms Get additional code examples written in Julia, Ruby, and JavaScript with supplemental online materials
Machine Learning for Email
If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use machine learning to work with email. You’ll learn how to write algorithms that automatically sort and redirect email based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation. This book also includes a short tutorial on using the popular R language to manipulate and analyze data. You’ll get clear examples for analyzing sample data and writing machine learning programs with R. Mine email content with R functions, using a collection of sample files Analyze the data and use the results to write a Bayesian spam classifier Rank email by importance, using factors such as thread activity Use your email ranking analysis to write a priority inbox program Test your classifier and priority inbox with a separate email sample set
Bandit Algorithms
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Education in Black and White
How Myles Horton and the Highlander Folk School catalyzed social justice and democratic education For too long, the story of life-changing teacher and activist Myles Horton has escaped the public spotlight. An inspiring and humble leader whose work influenced the civil rights movement, Horton helped thousands of marginalized people gain greater control over their lives. Born and raised in early twentieth-century Tennessee, Horton was appalled by the disrespect and discrimination that was heaped on poor people—both black and white—throughout Appalachia. He resolved to create a place that would be available to all, where regular people could talk, learn from one another, and get to the hea...
Machine Learning in Action
Summary Machine Learning in Action is unique book that blends the foundational theories of machine learning with the practical realities of building tools for everyday data analysis. You'll use the flexible Python programming language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification. About the Book A machine is said to learn when its performance improves with experience. Learning requires algorithms and programs that capture data and ferret out the interestingor useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill neede...
Design for Hackers
Discover the techniques behind beautiful design by deconstructing designs to understand them The term 'hacker' has been redefined to consist of anyone who has an insatiable curiosity as to how things work—and how they can try to make them better. This book is aimed at hackers of all skill levels and explains the classical principles and techniques behind beautiful designs by deconstructing those designs in order to understand what makes them so remarkable. Author and designer David Kadavy provides you with the framework for understanding good design and places a special emphasis on interactive mediums. You'll explore color theory, the role of proportion and geometry in design, and the rela...
Afterglow
Skinny's Book of the Year, 2018 In 1990, Myles chose Rosie from a litter on the street, and their connection instantly made an indelible impact on the writer's way of being. Over the course of sixteen years together, Myles was devoted to the pit bull and their linked quality of life. And starting from the emptiness following Rosie's death, Afterglow launches a playful and incisive investigation into the mostly mutually beneficial, sometimes reprehensible power dynamics between pet and pet-owner. At the same time, it reimagines Myles's experiences with alcoholism and recovery, intimacy and mourning, celebrity and politics, spirituality and family history, while joyously transcending the parameters of memoir. Moving from an imaginary talk show where Rosie is interviewed by Myles's childhood puppet, to a critical reenactment of the night Rosie mated with another pit bull; from shimmering poetic transcriptions of video footage taken during their walks, to Rosie's final enlightened narration from the afterlife, this totally singular text combines elements of science fiction, screenplay, monologue, and lucid memory to get to the heart of how and why we dedicate our existence to our dogs.
Mr. Blue
J. Blue is a mysterious man. Charming and carefree, he goes from rags to riches after the inheritance of an unexpected fortune, only to forgo money and power for the love of Lady Poverty. He embraces fully his Christian faith-loving the unlovable, instructing the ignorant, and remembering that it is by grace that we are saved.
Chelsea Girls
In this breathtakingly inventive autobiographical novel, Eileen Myles transforms their life into a work of art. Suffused with alcohol, drugs, and sex; evocative in its depictions of the hardscrabble realities of a young queer artist's life; with raw, flickering stories of awkward love, laughter, and discovery, Chelsea Girls is a funny, cool, and intimate account of how one young writer managed to shrug off the imposition of a rigid cultural identity. Told in Myles's audacious and singular voice made vivid and immediate by their lyrical language, Chelsea Girls weaves together memories of Myles's 1960s Catholic upbringing with an alcoholic father, their volatile adolescence, their unabashed "lesbianity," and their riotous pursuit of survival as a poet in 1970s and 80s New York.
