How does sleep--or its absence--change us? At the end of another wakeful night, High Winds tears off on a hallucinatory road trip in search of his estranged half brother, led by cryptic signs and coincidences. Part modern-day pillow book, part picture book for adults, and told in an associative, elliptical style, the narrative takes readers deep into a dreamlike Western landscape. Jessica Fleischmann's atmospheric imagery amplifies the words on every page, referencing 1980s graphics, net art, and something yet unseen; Sylvan Oswald's text inhabits and draws meaning from this visual environment. Gas stations, local legends, and unlikely rock formations become terrain for explorations of fear, fantasy, masculinity, medication, spatial structures, and bodily functions--inspired by the author's experience of gender transition, insomnia, and moving to Los Angeles. Poetic and funny, surreal and beautiful--High Winds makes a delightful companion, before or instead of a good night's sleep.
Congressman Ro Khanna offers a revolutionary, “progressive” (James J. Heckman, Nobel Prize winner and professor of economics at the University of Chicago) roadmap to facing America’s digital divide, offering greater economic prosperity to all. In Khanna’s vision, “just as people can move to technology, technology can move to people” (from the foreword by Amartya Sen, Nobel Laureate in Economics) where “Khanna envisions redistributing opportunities from coastal cities to rural middle-America…An exciting vision, brilliantly rendered.” (Arlie Russell Hochschild, author of Strangers in Their Own Land). Unequal access to technology and the revenue it creates is one of the most pressing issues in the United States. An economic gulf exists between those who have struck gold in the tech industry and those left behind by the digital revolution; a geographic divide between those in the coastal tech industry and those in the heartland whose jobs have been automated; and existing inequalities in the technological access—students without computers, rural workers with spotty WiFi, and many workers without the luxury to work remotely. Congressman Ro Khanna’s Progressive Capitalism tackles these challenges head-on and imagines how the digital economy can create opportunities for people across the country without uprooting them. Anchored by an approach Khanna calls “progressive capitalism,” he shows how democratizing access to tech can strengthen every sector of economy and culture. By expanding technological jobs nationwide through public and private partnerships, we can close the wealth gap in America and begin to repair the fractured, distrusting relationships that have plagued our country for fall too long. Inspired by his own story born into an immigrant family, Khanna understands how economic opportunity can change the course of a person’s life. Moving deftly between storytelling, policy, and some of the country’s greatest thinkers in political philosophy and economics, Khanna presents a vision we can’t afford to ignore. Progressive Capitalism is a “practical and aspirational” (Kimberlé Crenshaw, professor of law at UCLA and Columbia University) roadmap to how we can seek dignity for every American in an era in which technology shapes every aspect of our lives.
This book of the bestselling and widely acclaimed Python Machine Learning series is a comprehensive guide to machine and deep learning using PyTorch s simple to code framework. Purchase of the print or Kindle book includes a free eBook in PDF format. Key Features Learn applied machine learning with a solid foundation in theory Clear, intuitive explanations take you deep into the theory and practice of Python machine learning Fully updated and expanded to cover PyTorch, transformers, XGBoost, graph neural networks, and best practices Book DescriptionMachine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself. Why PyTorch? PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP). This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.What you will learn Explore frameworks, models, and techniques for machines to learn from data Use scikit-learn for machine learning and PyTorch for deep learning Train machine learning classifiers on images, text, and more Build and train neural networks, transformers, and boosting algorithms Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who this book is for If you have a good grasp of Python basics and want to start learning about machine learning and deep learning, then this is the book for you. This is an essential resource written for developers and data scientists who want to create practical machine learning and deep learning applications using scikit-learn and PyTorch. Before you get started with this book, you’ll need a good understanding of calculus, as well as linear algebra.
A delightful tour of the greatest ideas of math, showing how math intersects with philosophy, science, art, business, current events, and everyday life, by an acclaimed science communicator and regular contributor to the "New York Times."
Winner of the National Book Award for Young People’s Literature, the Michael L. Printz Award, and the Pura Belpré Award! Fans of Jacqueline Woodson, Meg Medina, and Jason Reynolds will fall hard for this astonishing New York Times-bestselling novel-in-verse by an award-winning slam poet, about an Afro-Latina heroine who tells her story with blazing words and powerful truth. Xiomara Batista feels unheard and unable to hide in her Harlem neighborhood. Ever since her body grew into curves, she has learned to let her fists and her fierceness do the talking. But Xiomara has plenty she wants to say, and she pours all her frustration and passion onto the pages of a leather notebook, reciting the words to herself like prayers—especially after she catches feelings for a boy in her bio class named Aman, who her family can never know about. With Mami’s determination to force her daughter to obey the laws of the church, Xiomara understands that her thoughts are best kept to herself. So when she is invited to join her school’s slam poetry club, she doesn’t know how she could ever attend without her mami finding out. But she still can’t stop thinking about performing her poems. Because in the face of a world that may not want to hear her, Xiomara refuses to be silent. “Crackles with energy and snaps with authenticity and voice.” —Justina Ireland, author of Dread Nation “An incredibly potent debut.” —Jason Reynolds, author of the National Book Award Finalist Ghost “Acevedo has amplified the voices of girls en el barrio who are equal parts goddess, saint, warrior, and hero.” —Ibi Zoboi, author of American Street This young adult novel, a selection of the Schomburg Center's Black Liberation Reading List, is an excellent choice for accelerated tween readers in grades 6 to 8. Plus don't miss Elizabeth Acevedo's With the Fire on High and Clap When You Land!
The #1 New York Times bestseller that sparked international dialogue is now in paperback for young adults! Based on the adult bestseller by Ibram X. Kendi, and co-authored by bestselling author Nic Stone, How to be a (Young) Antiracist will serve as a guide for teens seeking a way forward in acknowledging, identifying, and dismantling racism and injustice. The New York Times bestseller How to be an Antiracist by Ibram X. Kendi is shaping the way a generation thinks about race and racism. How to be a (Young) Antiracist is a dynamic reframing of the concepts shared in the adult book, with young adulthood front and center. Aimed at readers 12 and up, and co-authored by award-winning children's book author Nic Stone, How to be a (Young) Antiracist empowers teen readers to help create a more just society. Antiracism is a journey--and now young adults will have a map to carve their own path. Kendi and Stone have revised this work to provide anecdotes and data that speaks directly to the experiences and concerns of younger readers, encouraging them to think critically and build a more equitable world in doing so.
This book has evolved by processes of selection and expansion from its predecessor, Practical Scanning Electron Microscopy (PSEM), published by Plenum Press in 1975. The interaction of the authors with students at the Short Course on Scanning Electron Microscopy and X-Ray Microanalysis held annually at Lehigh University has helped greatly in developing this textbook. The material has been chosen to provide a student with a general introduction to the techniques of scanning electron microscopy and x-ray microanalysis suitable for application in such fields as biology, geology, solid state physics, and materials science. Following the format of PSEM, this book gives the student a basic knowledge of (1) the user-controlled functions of the electron optics of the scanning electron microscope and electron microprobe, (2) the characteristics of electron-beam-sample inter actions, (3) image formation and interpretation, (4) x-ray spectrometry, and (5) quantitative x-ray microanalysis. Each of these topics has been updated and in most cases expanded over the material presented in PSEM in order to give the reader sufficient coverage to understand these topics and apply the information in the laboratory. Throughout the text, we have attempted to emphasize practical aspects of the techniques, describing those instru ment parameters which the microscopist can and must manipulate to obtain optimum information from the specimen. Certain areas in particular have been expanded in response to their increasing importance in the SEM field. Thus energy-dispersive x-ray spectrometry, which has undergone a tremendous surge in growth, is treated in substantial detail.
Are you working on a codebase where cost overruns, death marches, and heroic fights with legacy code monsters are the norm? Battle these adversaries with novel ways to identify and prioritize technical debt, based on behavioral data from how developers work with code. And that's just for starters. Because good code involves social design, as well as technical design, you can find surprising dependencies between people and code to resolve coordination bottlenecks among teams. Best of all, the techniques build on behavioral data that you already have: your version-control system. Join the fight for better code! Use statistics and data science to uncover both problematic code and the behavioral patterns of the developers who build your software. This combination gives you insights you can't get from the code alone. Use these insights to prioritize refactoring needs, measure their effect, find implicit dependencies between different modules, and automatically create knowledge maps of your system based on actual code contributions. In a radical, much-needed change from common practice, guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Discover a comprehensive set of practical analysis techniques based on version-control data, where each point is illustrated with a case study from a real-world codebase. Because the techniques are language neutral, you can apply them to your own code no matter what programming language you use. Guide organizational decisions with objective data by measuring how well your development teams align with the software architecture. Apply research findings from social psychology to software development, ensuring you get the tools you need to coach your organization towards better code. If you're an experienced programmer, software architect, or technical manager, you'll get a new perspective that will change how you work with code. What You Need: You don't have to install anything to follow along in the book. TThe case studies in the book use well-known open source projects hosted on GitHub. You'll use CodeScene, a free software analysis tool for open source projects, for the case studies. We also discuss alternative tooling options where they exist.
