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Training Data for Machine Learning: Human Supervision from Annotation to Data Science
by Anthony SarkisYour training data has as much to do with the success of your data project as the algorithms themselves because most failures in AI systems relate to training data. But while training data is the foundation for successful AI and machine learning, there are few comprehensive resources to help you ace the process. In this hands-on guide, author Anthony Sarkis--lead engineer for the Diffgram AI training data software--shows technical professionals, managers, and subject matter experts how to work with and scale training data, while illuminating the human side of supervising machines. Engineering leaders, data engineers, and data science professionals alike will gain a solid understanding of the concepts, tools, and processes they need to succeed with training data.With this book, you'll learn how to:Work effectively with training data including schemas, raw data, and annotationsTransform your work, team, or organization to be more AI/ML data-centricClearly explain training data concepts to other staff, team members, and stakeholdersDesign, deploy, and ship training data for production-grade AI applicationsRecognize and correct new training-data-based failure modes such as data biasConfidently use automation to more effectively create training dataSuccessfully maintain, operate, and improve training data systems of record
Practical AI on the Google Cloud Platform: Utilizing Google's State-of-the-art Ai Cloud Services
by Micheal LanhamWorking with AI is complicated and expensive for many developers. That's why cloud providers have stepped in to make it easier, offering free (or affordable) state-of-the-art models and training tools to get you started. With this book, you'll learn how to use Google's AI-powered cloud services to do everything from creating a chatbot to analyzing text, images, and video.Author Micheal Lanham demonstrates methods for building and training models step-by-step and shows you how to expand your models to accomplish increasingly complex tasks. If you have a good grasp of math and the Python language, you'll quickly get up to speed with Google Cloud Platform, whether you want to build an AI assistant or a simple business AI application.Learn key concepts for data science, machine learning, and deep learningExplore tools like Video AI and AutoML TablesBuild a simple language processor using deep learning systemsPerform image recognition using CNNs, transfer learning, and GANsUse Google's Dialogflow to create chatbots and conversational AIAnalyze video with automatic video indexing, face detection, and TensorFlow HubBuild a complete working AI agent application
Mechanical Engineering for Makers: A Hands-on Guide to Designing and Making Physical Things
by Brian Bunnell Samer NajiaThis practical, user-friendly reference book of common mechanical engineering concepts is geared toward makers who don't have (or want) an engineering degree but need to know the essentials of basic mechanical elements to successfully accomplish their personal projects. The book provides practical mechanical engineering information (supplemented with the applicable math, science, physics, and engineering theory) without being boring like a typical textbook. Most chapters contain at least one hands-on, fully illustrated, step-by-step project to demonstrate the topic being discussed and requires only common, inexpensive, easily sourced materials and tools. Some projects also provide alternative materials and tools and processes to align with the reader's individual preferences, skills, tools, and materials-at-hand. Linked together via the authors' overarching project -- building a kid-sized tank -- the chapters describe the thinking behind each mechanism and then expands the discussions to similar mechanical concepts in other applications. Written with humor, a bit of irreverence, and entertaining personal insights and first-hand experiences, the book presents complex concepts in an uncomplicated way.Highlights include:Provides mechanical engineering information that includes math, science, physics and engineering theory without being a textbookContains hands-on projects in each chapter that require common, inexpensive, easily sourced materials and toolsAll hands-on projects are fully illustrated with step-by-step instructionsSome hands-on projects provide alternative materials and tools/processes to align with the reader's individual preferences, skills, tools and materials-at-handIncludes real-world insights from the authors like tips and tricks ("Staying on Track") and fail moments ("Lost Track!")Many chapters contain a section ("Tracking Further") that dives deeper into the chapter subject, for those readers that are interested in more details of the topicBuilds on two related Make: projects to link and illustrate all the chapter topics and bring individual concepts together into one systemFurnishes an accompanying website that offers further information, illustrations, projects, discussion boards, videos, animations, patterns, drawings, etc.Learn to effectively use professional mechanical engineering principles in your projects, without having to graduate from engineering school!
Probabilistic Machine Learning for Finance and Investing: A Primer to Generative AI with Python
by Deepak K. KanungoThere are several reasons why probabilistic machine learning represents the next-generation ML framework and technology for finance and investing. This generative ensemble learns continually from small and noisy financial datasets while seamlessly enabling probabilistic inference, retrodiction, prediction, and counterfactual reasoning. Probabilistic ML also lets you systematically encode personal, empirical, and institutional knowledge into ML models.Whether they're based on academic theories or ML strategies, all financial models are subject to modeling errors that can be mitigated but not eliminated. Probabilistic ML systems treat uncertainties and errors of financial and investing systems as features, not bugs. And they quantify uncertainty generated from inexact inputs and outputs as probability distributions, not point estimates. This makes for realistic financial inferences and predictions that are useful for decision-making and risk management.Unlike conventional AI, these systems are capable of warning us when their inferences and predictions are no longer useful in the current market environment. By moving away from flawed statistical methodologies and a restrictive conventional view of probability as a limiting frequency, you’ll move toward an intuitive view of probability as logic within an axiomatic statistical framework that comprehensively and successfully quantifies uncertainty. This book shows you how.
Learning Google Analytics: Creating Business Impact and Driving Insights
by Mark EdmondsonWhy is Google Analytics 4 the most modern data model available for digital marketing analytics? Because rather than simply report what has happened, GA4's new cloud integrations enable more data activation—linking online and offline data across all your streams to provide end-to-end marketing data. This practical book prepares you for the future of digital marketing by demonstrating how GA4 supports these additional cloud integrations.Author Mark Edmondson, Google Developer Expert for Google Analytics and Google Cloud, provides a concise yet comprehensive overview of GA4 and its cloud integrations. Data, business, and marketing analysts will learn major facets of GA4's powerful new analytics model, with topics including data architecture and strategy, and data ingestion, storage, and modeling. You'll explore common data activation use cases and get guidance on how to implement them.You'll learn:How Google Cloud integrates with GA4The potential use cases that GA4 integrations can enableSkills and resources needed to create GA4 integrationsHow much GA4 data capture is necessary to enable use casesThe process of designing dataflows from strategy though data storage, modeling, and activation
It Can Happen Here: White Power and the Rising Threat of Genocide in the US
by Alexander Laban HintonA renowned expert on genocide argues that there is a real risk of violent atrocities happening in the United States If many people were shocked by Donald Trump’s 2016 election, many more were stunned when, months later, white supremacists took to the streets of Charlottesville, Virginia, chanting “Blood and Soil” and “Jews will not replace us!” Like Trump, the Charlottesville marchers were dismissed as aberrations—crazed extremists who did not represent the real US. It Can Happen Here demonstrates that, rather than being exceptional, such white power extremism and the violent atrocities linked to it are a part of American history. And, alarmingly, they remain a very real threat to the US today. Alexander Hinton explains how murky politics, structural racism, the promotion of American exceptionalism, and a belief that the US has have achieved a color-blind society have diverted attention from the deep roots of white supremacist violence in the US’s brutal past. Drawing on his years of research and teaching on mass violence, Hinton details the warning signs of impending genocide and atrocity crimes, the tools used by ideologues to fan the flames of hate, the origins of the far-right extremist ideas of white genocide and replacement, and the shocking ways in which “us” versus “them” violence is supported by racist institutions and policies. It Can Happen Here is an essential new assessment of the dangers of contemporary white power extremism in the United States. While revealing the threat of genocide and atrocity crimes that loom over the country, Hinton offers actions we can take to prevent it from happening, illuminating a hopeful path forward for a nation in crisis.
Black Women's Health: Paths to Wellness for Mothers and Daughters
by Michele Tracy BergerThe struggles African American women and their adolescent daughters face in living healthy, active livesFrom heart disease and diabetes to HIV and obesity, Black women and girls face serious health risks, lagging behind their white counterparts by every measure of health, well-being, and fitness. In Black Women’s Health, Michele Tracy Berger shows us why this is the case, exploring how the health needs of Black women and girls are uniquely rooted in their experiences with racism, sexism, and class discrimination. Drawing on interviews with mothers and their daughters, as well as compelling medical data, Berger provides insight into the larger patterns that place Black women at such high risk on a national level. She shows how Black mothers communicate with their daughters about health, sexuality, and intimacy, including how they attempt to promote healthy living standards even as they navigate widespread, systemic challenges. Ultimately, Berger highlights the important role that family—and specifically, the relationship between mothers and daughters—plays in improving public health outcomes. Black Women’s Health takes a much-needed, intimate look at how Black women and girls navigate different paths to wellness.
The Immigration Law Death Penalty: Aggravated Felonies, Deportation, and Legal Resistance
by Sarah ToshTraces the role of the aggravated felony in today’s deportation regimeIn immigration courts across America, a non-citizen convicted of an “aggravated felony” will almost certainly face deportation with no access to asylum. However, despite the ominous-sounding name, aggravated felonies need not be either “aggravated” or “felonies.” The term encompasses more than thirty offenses, ranging from check fraud and shoplifting to filing a false tax return. The recent expansion in the list of such offenses has resulted in astronomical rates of deportation.This book chronicles the rise of the use of the aggravated felony, known by lawyers as the “immigration law death penalty,” to criminalize and then deport immigrants. Immigrants convicted of aggravated felonies are subject to mandatory detention and almost certain deportation—and are ineligible for almost all forms of legal relief from removal. Furthermore, immigrants convicted of aggravated felonies can be detained for months or even years without bond, are not guaranteed lawyers, and can even be deported without an opportunity to plead their case in court. Sarah Tosh provides the first in-depth understanding of how aggravated felonies have been used to deport thousands of documented and undocumented immigrants and how the severe, expansive, and racially disparate outcomes have been met with innovative legal responses, bolstered by networks of community-based resistance. The Immigration Law Death Penalty is an urgent read for anyone committed to protecting the rights of immigrants nationwide.
Isidlamlilo / The Fire Eater: A play
by Neil Coppen Mpume Mthombeni Kira ErwinIsidlamlilo / The Fire Eater is a one-woman play inspired by the true story of a woman who served as a political assassin in the build-up to South Africa’s first democratic elections. Zenzile Maseko, the protagonist, is a 60-year-old grandmother living in a women’s hostel in Durban. Falsely declared dead by the Department of Home Affairs, she finds herself cast into a Kafkaesque nightmare that forces her to confront her past. Flown in on the wings of the Impundulu (the lightning bird), in Zulu folklore a shapeshifting bird associated with witchcraft and the harbinger of storms and death, Zenzile’s story weaves a magical and terrifying tapestry. She draws on myth, religious symbolism and traditional beliefs as she shares the realities – at times brutal, at times forgiving – of survival in South Africa. Her story touches on what it means to live through political violence, the transition to democracy, the brutality of inequality, health epidemics like HIV/AIDS, patriarchy, and the apathetic bureaucracy of government departments. Ultimately, Isidlamlilo / The Fire Eater offers a critical and unflinching look at the eddying cycles of violence and revenge that play out across generations. Yet it is most of all a story about regeneration and redemption that speaks to both the country’s haunted past and its present-day complexities.Written with pathos and empathy, this playscript will appeal to teachers, high school learners, and tertiary students in theatre, drama and English studies.
Old Futures: Speculative Fiction and Queer Possibility (Postmillennial Pop #10)
by Alexis LothianFinalist, 2019 Locus Award for Nonfiction, presented by the Locus Science Fiction FoundationTraverses the history of imagined futures from the 1890s to the 2010s, interweaving speculative visions of gender, race, and sexuality from literature, film, and digital mediaOld Futures explores the social, political, and cultural forces feminists, queer people, and people of color invoke when they dream up alternative futures as a way to imagine transforming the present. Lothian shows how queer possibilities emerge when we practice the art of speculation: of imagining things otherwise than they are and creating stories from that impulse. Queer theory offers creative ways to think about time, breaking with straight and narrow paths toward the future laid out for the reproductive family, the law-abiding citizen, and the believer in markets. Yet so far it has rarely considered the possibility that, instead of a queer present reshaping the ways we relate to past and future, the futures imagined in the past can lead us to queer the present. Narratives of possible futures provide frameworks through which we understand our present, but the discourse of “the” future has never been a singular one. Imagined futures have often been central to the creation and maintenance of imperial domination and technological modernity; Old Futures offers a counterhistory of works that have sought—with varying degrees of success—to speculate otherwise. Examining speculative texts from the 1890s to the 2010s, from Samuel R. Delany to Sense8, Lothian considers the ways in which early feminist utopias and dystopias, Afrofuturist fiction, and queer science fiction media have insisted that the future can and must deviate from dominant narratives of global annihilation or highly restrictive hopes for redemption.Each chapter chronicles some of the means by which the production and destruction of futures both real and imagined takes place: through eugenics, utopia, empire, fascism, dystopia, race, capitalism, femininity, masculinity, and many kinds of queerness, reproduction, and sex. Gathering stories of and by populations who have been marked as futureless or left out by dominant imaginaries, Lothian offers new insights into what we can learn from efforts to imaginatively redistribute the future.
The 9/11 Generation: Youth, Rights, and Solidarity in the War on Terror
by Sunaina Marr MairaExplores how young people from communities targeted in the War on Terror engage with the “political,” even while they are under constant scrutiny and surveillance Since the attacks of 9/11, the banner of national security has led to intense monitoring of the politics of Muslim and Arab Americans. Young people from these communities have come of age in a time when the question of political engagement is both urgent and fraught.In The 9/11 Generation, Sunaina Marr Maira uses extensive ethnography to understand the meaning of political subjecthood and mobilization for Arab, South Asian, and Afghan American youth. Maira explores how young people from communities targeted in the War on Terror engage with the “political,” forging coalitions based on new racial and ethnic categories, even while they are under constant scrutiny and surveillance, and organizing around notions of civil rights and human rights. The 9/11 Generation explores the possibilities and pitfalls of rights-based organizing at a moment when the vocabulary of rights and democracy has been used to justify imperial interventions, such as the U.S. wars in Iraq and Afghanistan. Maira further reconsiders political solidarity in cross-racial and interfaith alliances at a time when U.S. nationalism is understood as not just multicultural but also post-racial. Throughout, she weaves stories of post-9/11 youth activism through key debates about neoliberal democracy, the “radicalization” of Muslim youth, gender, and humanitarianism.
The Law of Law School: The Essential Guide for First-Year Law Students
by Andrew Guthrie Ferguson Jonathan Yusef NewtonOffers one hundred rules that every first year law student should live by“Dear Law Student: Here’s the truth. You belong here.” Law professor Andrew Ferguson and former student Jonathan Yusef Newton open with this statement of reassurance in The Law of Law School. As all former law students and current lawyers can attest, law school is disorienting, overwhelming, and difficult. Unlike other educational institutions, law school is not set up simply to teach a subject. Instead, the first year of law school is set up to teach a skill set and way of thinking, which you then apply to do the work of lawyering. What most first-year students don’t realize is that law school has a code, an unwritten rulebook of decisions and traditions that must be understood in order to succeed.The Law of Law School endeavors to distill this common wisdom into one hundred easily digestible rules. From self-care tips such as “Remove the Drama,” to studying tricks like “Prepare for Class like an Appellate Argument,” topics on exams, classroom expectations, outlining, case briefing, professors, and mental health are all broken down into the rules that form the hidden law of law school. If you don’t have a network of lawyers in your family and are unsure of what to expect, Ferguson and Newton offer a forthright guide to navigating the expectations, challenges, and secrets to first-year success. Jonathan Newton was himself such a non-traditional student and now shares his story as a pathway to a meaningful and positive law school experience. This book is perfect for the soon-to-be law school student or the current 1L and speaks to the growing number of first-generation law students in America.
Twitter: A Biography
by Nancy K. Baym Jean BurgessThe sometimes surprising, often humorous story of the forces that came together to shape the central role Twitter now plays in contemporary politics and cultureIs Twitter a place for sociability and conversation, a platform for public broadcasting, or a network for discussion? Digital platforms have become influential in every sphere of communication, from the intimate and everyday to the public, professional, and political. Since the scrappy startup days of social media in the mid-2000s, not only has the worldwide importance of platforms grown exponentially, but also their cultures have shifted dramatically, in a variety of directions. These changes have brought new opportunities for progressive communities to thrive online, as well as widespread problems with commercial exploitation, disinformation, and hate speech.Twitter’s growth over the past decade, like that of much social media, has far surpassed its creators’ vision. Twitter charts this trajectory in the format of a platform biography: a new, streamlined approach to understanding how platforms change over time. Through the often surprising, fast-moving story of Twitter, it illuminates the multiple forces—from politics and business to digital ideologies—that came together to shape the evolution of this revolutionary platform. Jean Burgess and Nancy K. Baym build a rich narrative of how Twitter has evolved as a technology, a company, and a culture, from its origins as a personal messaging service to its transformation into one of the most globally influential social media platforms, where history and culture is not only recorded but written in real time.
Learning React Native: Building Native Mobile Apps with JavaScript
by Bonnie EisenmanGet a practical introduction to React Native, the JavaScript framework for writing and deploying fully featured mobile apps that render natively. The second edition of this hands-on guide shows you how to build applications that target iOS, Android, and other mobile platforms instead of browsers—apps that can access platform features such as the camera, user location, and local storage.Through code examples and step-by-step instructions, web developers and frontend engineers familiar with React will learn how to build and style interfaces, use mobile components, and debug and deploy apps. You’ll learn how to extend React Native using third-party libraries or your own Java and Objective-C libraries.Understand how React Native works under the hood with native UI componentsExamine how React Native’s mobile-based components compare to basic HTML elementsCreate and style your own React Native components and applicationsTake advantage of platform-specific APIs, as well as modules from the framework’s communityIncorporate platform-specific components into cross-platform appsLearn common pitfalls of React Native development, and tools for dealing with themCombine a large application’s many screens into a cohesive UXHandle state management in a large app with the Redux library
Football Analytics with Python & R: Learning Data Science Through the Lens of Sports
by Eric A. Eager Richard A. EricksonBaseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more
Mastering API Architecture: Design, Operate, and Evolve API-Based Systems
by James Gough Daniel Bryant Matthew AuburnMost organizations with a web presence build and operate APIs; the doorway for customers to interact with the company's services. Designing, building, and managing these critical programs affect everyone in the organization, from engineers and product owners to C-suite executives. But the real challenge for developers and solution architects is creating an API platform from the ground up.With this practical book, you'll learn strategies for building and testing REST APIs that use API gateways to combine offerings at the microservice level. Authors James Gough, Daniel Bryant, and Matthew Auburn demonstrate how simple additions to this infrastructure can help engineers and organizations migrate to the cloud; and open the opportunity to connect internal services using technologies like a service mesh.Learn API fundamentals and architectural patterns for building an API platformUse practical examples to understand how to design, build, and test API-based systemsDeploy, operate, and configure key components of an API platformUse API gateways and service meshes appropriately, based on case studiesUnderstand core security and common vulnerabilities in API architectureSecure data and APIs using threat modeling and technologies like OAuth2 and TLSLearn how to evolve existing systems toward API- and cloud-based architectures
Concurrency in C# Cookbook: Asynchronous, Parallel, and Multithreaded Programming
by Stephen ClearyIf you’re one of many developers still uncertain about concurrent and multithreaded development, this practical cookbook will change your mind. With more than 85 code-rich recipes in this updated second edition, author Stephen Cleary demonstrates parallel processing and asynchronous programming techniques using libraries and language features in .NET and C# 8.0.Concurrency is now more common in responsive and scalable application development, but it’s still extremely difficult to code. The detailed solutions in this cookbook show you how modern tools raise the level of abstraction, making concurrency much easier than before. Complete with ready-to-use code and discussions about how and why solutions work, these recipes help you:Get up to speed on concurrency and async and parallel programmingUse async and await for asynchronous operationsEnhance your code with asynchronous streamsExplore parallel programming with .NET’s Task Parallel LibraryCreate dataflow pipelines with .NET’s TPL Dataflow libraryUnderstand the capabilities that System.Reactive builds on top of LINQUtilize threadsafe and immutable collectionsLearn how to conduct unit testing with concurrent codeMake the thread pool work for youEnable clean, cooperative cancellationExamine scenarios for combining concurrent approachesDive into asynchronous-friendly object-oriented programmingRecognize and write adapters for code using older asynchronous styles
Learning GitHub Actions: Automation and Integration of CI/CD with GitHub
by Brent LasterAutomate your software development processes with GitHub Actions, the continuous integration and continuous delivery platform that integrates seamlessly with GitHub. With this practical book, open source author, trainer, and DevOps director Brent Laster explains everything you need to know about using and getting value from GitHub Actions. You'll learn what actions and workflows are and how they can be used, created, and incorporated into your processes to simplify, standardize, and automate your work in GitHub.This book explains the platform, components, use cases, implementation, and integration points of actions, so you can leverage them to provide the functionality and features needed in today's complex pipelines and software development processes. You'll learn how to design and implement automated workflows that respond to common events like pushes, pull requests, and review updates. You'll understand how to use the components of the GitHub Actions platform to gain maximum automation and benefit.With this book, you will:Learn what GitHub Actions are, the various use cases for them, and how to incorporate them into your processesUnderstand GitHub Actions' structure, syntax, and semanticsAutomate processes and implement functionalityCreate your own custom actions with Docker, JavaScript, or shell approachesTroubleshoot and debug workflows that use actionsCombine actions with GitHub APIs and other integration optionsIdentify ways to securely implement workflows with GitHub ActionsUnderstand how GitHub Actions compares to other options
Learning Test-Driven Development: A Polyglot Guide to Writing Uncluttered Code
by Saleem SiddiquiYour code is a testament to your skills as a developer. No matter what language you use, code should be clean, elegant, and uncluttered. By using test-driven development (TDD), you'll write code that's easy to understand, retains its elegance, and works for months, even years, to come. With this indispensable guide, you'll learn how to use TDD with three different languages: Go, JavaScript, and Python.Author Saleem Siddiqui shows you how to tackle domain complexity using a unit test-driven approach. TDD partitions requirements into small, implementable features, enabling you to solve problems irrespective of the languages and frameworks you use. With Learning Test-Driven Development at your side, you'll learn how to incorporate TDD into your regular coding practice.This book helps you:Use TDD's divide-and-conquer approach to tame domain complexityUnderstand how TDD works across languages, testing frameworks, and domain conceptsLearn how TDD enables continuous integrationSupport refactoring and redesign with TDDLearn how to write a simple and effective unit test harness in JavaScriptSet up a continuous integration environment with the unit tests produced during TDDWrite clean, uncluttered code using TDD in Go, JavaScript, and Python
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
by Chip HuyenMachine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.This book will help you tackle scenarios such as:Engineering data and choosing the right metrics to solve a business problemAutomating the process for continually developing, evaluating, deploying, and updating modelsDeveloping a monitoring system to quickly detect and address issues your models might encounter in productionArchitecting an ML platform that serves across use casesDeveloping responsible ML systems
Azure Cookbook: Recipes to Create and Maintain Cloud Solutions in Azure
by Reza SalehiHow do you deal with the problems you face when using Azure? This practical guide provides over 75 recipes to help you to work with common Azure issues in everyday scenarios. That includes key tasks like setting up permissions for a storage account, working with Cosmos DB APIs, managing Azure role-based access control, governing your Azure subscriptions using Azure Policy, and much more.Author Reza Salehi has assembled real-world recipes that enable you to grasp key Azure services and concepts quickly. Each recipe includes CLI scripts that you can execute in your own Azure account. Recipes also explain the approach and provide meaningful context. The solutions in this cookbook will take you beyond theory and help you understand Azure services in practice.You'll find recipes that let you:Store data in an Azure storage account or in a data lakeWork with relational and nonrelational databases in AzureManage role-based access control (RBAC) for Azure resourcesSafeguard secrets in Azure Key VaultGovern your Azure subscription using Azure PolicyUse CLI code to construct your application or fix a particular problem
Natural Language Processing with Spark NLP: Learning to Understand Text at Scale
by Alex ThomasIf you want to build an enterprise-quality application that uses natural language text but aren’t sure where to begin or what tools to use, this practical guide will help get you started. Alex Thomas, principal data scientist at Wisecube, shows software engineers and data scientists how to build scalable natural language processing (NLP) applications using deep learning and the Apache Spark NLP library.Through concrete examples, practical and theoretical explanations, and hands-on exercises for using NLP on the Spark processing framework, this book teaches you everything from basic linguistics and writing systems to sentiment analysis and search engines. You’ll also explore special concerns for developing text-based applications, such as performance.In four sections, you’ll learn NLP basics and building blocks before diving into application and system building:Basics: Understand the fundamentals of natural language processing, NLP on Apache Stark, and deep learningBuilding blocks: Learn techniques for building NLP applications—including tokenization, sentence segmentation, and named-entity recognition—and discover how and why they workApplications: Explore the design, development, and experimentation process for building your own NLP applicationsBuilding NLP systems: Consider options for productionizing and deploying NLP models, including which human languages to support
Managing Cloud Native Data on Kubernetes: Architecting Cloud Native Data Services Using Open Source Technology
by Jeff Carpenter Patrick McFadinIs Kubernetes ready for stateful workloads? This open source system has become the primary platform for deploying and managing cloud native applications. But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging. If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help.Using Kubernetes as your platform, you'll learn open source technologies that are designed and built for the cloud. Authors Jeff Carpenter and Patrick McFadin provide case studies to help you explore new use cases and avoid the pitfalls others have faced. You’ll get an insider's view of what's coming from innovators who are creating next-generation architectures and infrastructure.With this book, you will:Learn how to use basic Kubernetes resources to compose data infrastructureAutomate the deployment and operations of data infrastructure on Kubernetes using tools like Helm and operatorsEvaluate and select data infrastructure technologies for use in your applicationsIntegrate data infrastructure technologies into your overall stackExplore emerging technologies that will enhance your Kubernetes-based applications in the future
Conversations with Diego Rivera: The Monster in His Labyrinth
by Alfredo Cardona PeñaA year of weekly interviews (1949-1950) with artist Diego Rivera by poet Alfredo Cardona-Peña disclose Rivera’s iconoclastic views of life and the art world of that time. These intimate Sunday dialogues with what is surely the most influential Mexican artist of the twentieth century show us the free-flowing mind of a man who was a legend in his own time; an artist who escaped being lynched on more than one occasion, a painter so controversial that his public murals inspired movements, or, like the work commissioned by John D. Rockefeller, were ordered torn down. Here in his San Angelín studio, we hear Rivera’s feelings about the elitist aspect of paintings in museums, his motivations to create public art for the people, and his memorable, unedited expositions on the art, culture, and politics of Mexico. The book has seven chapters that loosely follow the range of the author’s questions and Rivera’s answers. They begin with childlike, yet vast questions on the nature of art, run through Rivera’s early memories and aesthetics, his views on popular art, his profound understanding of Mexican art and artists, the economics of art, random expositions on history or dreaming, and elegant analysis of art criticisms and critics. The work is all the more remarkable to have been captured between Rivera’s inhumanly long working stints of six hours or even days without stop. In his rich introduction, author Cardona-Peña describes the difficulty of gaining entrance to Rivera’s inner sanctum, how government funtionaries and academics often waited hours to be seen, and his delicious victory. At eight p. m. the night of August 12, a slow, heavy-set, parsimonious Diego came in to where I was, speaking his Guanajuato version of English and kissing women’s hands. I was able to explain my idea to him and he was immediately interested. He invited me into his studio, and while taking off his jacket, said, “Ask me...” And I asked one, two, twenty... I don't know how many questions ‘til the small hours of the night, with him answering from memory, with an incredible accuracy, without pausing, without worrying much about what he might be saying, all of it spilling out in an unconscious and magical manner. A series of Alfredo Cardona-Peña’s weekly interviews with Rivera were published in 1949 and 1950 in the Mexican newspaper, El Nacional, for which Alfredo was a journalist. His book of compiled interviews with introduction and preface, El Monstruo en su Laberinto, was published in Spanish in 1965. Finally, this extraordinary and rare exchange has been translated for the first time into English by Alfredo’s half-brother Alvaro Cardona Hine, also a poet. According to the translator’s wife, Barbara Cardona-Hine, bringing the work into English was a labor of love for Alvaro, the fulfillment of a promise made to his brother in 1971 that he did not get to until the year before his own death in 2016.
Public Faces, Secret Lives: A Queer History of the Women's Suffrage Movement
by Wendy L. RouseHonorable Mention for the 2023 Francis Richardson Keller-Sierra Prize2023 Judy Grahn Award-Publishing Triangle FinalistRestores queer suffragists to their rightful place in the history of the struggle for women’s right to voteThe women’s suffrage movement, much like many other civil rights movements, has an important and often unrecognized queer history. In Public Faces, Secret Lives Wendy L. Rouse reveals that, contrary to popular belief, the suffrage movement included a variety of individuals who represented a range of genders and sexualities. However, owing to the constant pressure to present a “respectable” public image, suffrage leaders publicly conformed to gendered views of ideal womanhood in order to make women’s suffrage more palatable to the public.Rouse argues that queer suffragists did take meaningful action to assert their identities and legacies by challenging traditional concepts of domesticity, family, space, and death in both subtly subversive and radically transformative ways. Queer suffragists also built lasting alliances and developed innovative strategies in order to protect their most intimate relationships, ones that were ultimately crucial to the success of the suffrage movement. Public Faces, Secret Lives is the first work to truly recenter queer figures in the women’s suffrage movement, highlighting their immense contributions as well as their numerous sacrifices.