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My Child, the Algorithm

My Child, the Algorithm
Author: Hannah Silva
Publisher: Catapult
Total Pages: 309
Release: 2024-08-27
Genre: Family & Relationships
ISBN: 1593767811

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"Hannah Silva's My Child, the Algorithm, is one of the best books I read this year. Merging the cozy familiarity of child-rearing with the mysterious tension of AI {...}, she has created a new genre of personal narrative, and a story whose grief, hope and curiosity takes on poetic, spiritual dimensions, even when exploring the most common chambers of the human heart." —Michelle Tea, author, Knocking Myself Up My Child, the Algorithm tells a story of finding joy after betrayal. Like a male seahorse, Hannah Silva carried a baby made from her partner's egg. But when she gave birth, her partner left, and Hannah found herself navigating life alone with her child. Hannah started playing with a precursor to ChatGPT—wondering what AI could tell us about love. To her surprise, she was moved by the results. The algorithm prompted Hannah to share her explorations of dating, sex, friendship, and life as a queer parent in London. With the help and disruption of two unreliable narrators, a toddler and an algorithm, Hannah deconstructs her story, unraveling everything she has been taught to want, and finds alternative ways of thinking, loving, and parenting today.


No Way to Treat a Child

No Way to Treat a Child
Author: Naomi Schaefer Riley
Publisher: Bombardier Books
Total Pages: 299
Release: 2021-10-05
Genre: Political Science
ISBN: 1642936588

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Kids in danger are treated instrumentally to promote the rehabilitation of their parents, the welfare of their communities, and the social justice of their race and tribe—all with the inevitable result that their most precious developmental years are lost in bureaucratic and judicial red tape. It is time to stop letting efforts to fix the child welfare system get derailed by activists who are concerned with race-matching, blood ties, and the abstract demands of social justice, and start asking the most important question: Where are the emotionally and financially stable, loving, and permanent homes where these kids can thrive? “Naomi Riley’s book reveals the extent to which abused and abandoned children are often injured by their government rescuers. It is a must-read for those seeking solutions to this national crisis.” —Robert L. Woodson, Sr., civil rights leader and president of the Woodson Center “Everyone interested in child welfare should grapple with Naomi Riley’s powerful evidence that the current system ill-serves the safety and well-being of vulnerable kids.” —Walter Olson, senior fellow, Cato Institute, Robert A. Levy Center for Constitutional Studies


The Abuse Algorithm

The Abuse Algorithm
Author: Shavontana Starr Davis
Publisher:
Total Pages: 228
Release: 2021-12-20
Genre:
ISBN: 9781637308332

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Young people should avoid abuse, not simply recover from it. Sexual abuse is among the most serious issues that children and youth face. The thought of it is terrifying to parents and caring adults. The topic is difficult to discuss. The Abuse Algorithm shares the untold stories of child sexual abuse (CSA) survivors, along with insights from healthcare professionals who work with abuse victims. Author Shavontana Starr Davis, a CSA survivor, explores how CSA is a preventable public health crisis. Through research and interviews, Starr highlights the algorithm, or process, needed to deconstruct the antiquated societal perception of victimization and the misguided beliefs surrounding it. In doing so, she asks readers to: Carefully consider the difficult topics of CSA and Adverse Childhood Experiences (ACEs). Continue learning and exploring the impact of these topics. Pledge to become a trusted adult for young people. The Abuse Algorithm outlines how CSA affects everyone: survivors, those close to them, and the community. Treat this book as a resource guide. Remember that no two experiences are the same, healing is an individual process, and education is the best chance for prevention.


Baby Loves Coding!

Baby Loves Coding!
Author: Ruth Spiro
Publisher: Charlesbridge Publishing
Total Pages: 22
Release: 2018-06-05
Genre: Juvenile Nonfiction
ISBN: 158089884X

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Big, brainy science for the littlest listeners. Accurate enough to satisfy an expert, yet simple enough for baby, this clever board book showcases the use of logic, sequence, and patterns to solve problems. Can Baby think like a coder to fix her train? Beautiful, visually stimulating illustrations complement age-appropriate language to encourage baby's sense of wonder. Parents and caregivers may learn a thing or two, as well! Author's Note: The goal of the Baby Loves Science books is to introduce STEM topics in a developmentally appropriate way. As a precursor to learning programming languages and syntax, Baby Loves Coding presents the concepts of sequencing, problem solving, cause and effect, and thinking step-by-step. Practicing these skills early creates a solid foundation for reading, writing, math and eventually, programming.


Mastering AI

Mastering AI
Author: Jeremy Kahn
Publisher: Bedford Square Publishers
Total Pages: 376
Release: 2024-08-01
Genre: Computers
ISBN: 183501044X

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An urgent book on generative artificial intelligence exploring the risk and benefits looming in this seminal moment 'Easily the best exploration to date on the perils and promise of AI." —ASHLEE VANCE author of When the Heavens Went on Sale 'Mastering AI is a must-read. It's hard to put down'. —BETHANY McLEAN, coauthor of The Smartest Guys in the Room and The Big Fail ' A timely and urgent exploration of AI's dizzying acceleration' —BRAD STONE, author of The Everything Store The debut of ChatGPT on November 30th was a watershed moment in the history of technology. We stand on the threshold of a new age — one where content of all kinds, even software itself, will be conjured, seemingly from thin air, with simple conversation. In a culture fraught with misinformation, Mastering AI pierces through the thicket of exaggerated claims, explaining how we arrived at this moment and mapping the likely long-term impacts on business, economics, culture and society this potent technology will have. This book will serve as a guide to those dangers — as well as highlighting the technology's transformative potential — and will pinpoint concrete steps that should be taken to regulate generative AI.


The Data Science Design Manual

The Data Science Design Manual
Author: Steven S. Skiena
Publisher: Springer
Total Pages: 456
Release: 2017-07-01
Genre: Computers
ISBN: 3319554441

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This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)


Bad Choices

Bad Choices
Author: Ali Almossawi
Publisher: Penguin
Total Pages: 162
Release: 2017-04-04
Genre: Science
ISBN: 0735222231

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A relatable, interactive, and funny exploration of algorithms, those essential building blocks of computer science—and of everyday life—from the author of the wildly popular Bad Arguments Algorithms—processes that are made up of unambiguous steps and do something useful—make up the very foundations of computer science. But they also inform our choices in approaching everyday tasks, from managing a pile of clothes fresh out of the dryer to deciding what music to listen to. With Bad Choices, Ali Almossawi presents twelve scenes from everyday life that help demonstrate and demystify the fundamental algorithms that drive computer science, bringing these seemingly elusive concepts into the understandable realms of the everyday. Readers will discover how: • Matching socks can teach you about search and hash tables • Planning trips to the store can demonstrate the value of stacks • Deciding what music to listen to shows why link analysis is all-important • Crafting a succinct Tweet draws on ideas from compression • Making your way through a grocery list helps explain priority queues and traversing graphs • And more As you better understand algorithms, you’ll also discover what makes a method faster and more efficient, helping you become a more nimble, creative problem-solver, ready to face new challenges. Bad Choices will open the world of algorithms to all readers, making this a perennial go-to for fans of quirky, accessible science books.


Mazes for Programmers

Mazes for Programmers
Author: Jamis Buck
Publisher: Pragmatic Bookshelf
Total Pages: 396
Release: 2015-07-15
Genre: Computers
ISBN: 1680503960

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Unlock the secrets to creating random mazes! Whether you're a game developer, an algorithm connoisseur, or simply in search of a new puzzle, you're about to level up. Learn algorithms to randomly generate mazes in a variety of shapes, sizes, and dimensions. Bend them into Moebius strips, fold them into cubes, and wrap them around spheres. Stretch them into other dimensions, squeeze them into arbitrary outlines, and tile them in a dizzying variety of ways. From twelve little algorithms, you'll discover a vast reservoir of ideas and inspiration. From video games to movies, mazes are ubiquitous. Explore a dozen algorithms for generating these puzzles randomly, from Binary Tree to Eller's, each copiously illustrated and accompanied by working implementations in Ruby. You'll learn their pros and cons, and how to choose the right one for the job. You'll start by learning six maze algorithms and transition from making mazes on paper to writing programs that generate and draw them. You'll be introduced to Dijkstra's algorithm and see how it can help solve, analyze, and visualize mazes. Part 2 shows you how to constrain your mazes to different shapes and outlines, such as text, circles, hex and triangle grids, and more. You'll learn techniques for culling dead-ends, and for making your passages weave over and under each other. Part 3 looks at six more algorithms, taking it all to the next level. You'll learn how to build your mazes in multiple dimensions, and even on curved surfaces. Through it all, you'll discover yourself brimming with ideas, the best medicine for programmer's block, burn-out, and the grayest of days. By the time you're done, you'll be energized and full of maze-related possibilities! What You Need: The example code requires version 2 of the Ruby programming language. Some examples depend on the ChunkyPNG library to generate PNG images, and one chapter uses POV-Ray version 3.7 to render 3D graphics.


Automating Inequality

Automating Inequality
Author: Virginia Eubanks
Publisher: St. Martin's Press
Total Pages: 288
Release: 2018-01-23
Genre: Social Science
ISBN: 1466885963

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WINNER: The 2018 McGannon Center Book Prize and shortlisted for the Goddard Riverside Stephan Russo Book Prize for Social Justice The New York Times Book Review: "Riveting." Naomi Klein: "This book is downright scary." Ethan Zuckerman, MIT: "Should be required reading." Dorothy Roberts, author of Killing the Black Body: "A must-read." Astra Taylor, author of The People's Platform: "The single most important book about technology you will read this year." Cory Doctorow: "Indispensable." A powerful investigative look at data-based discrimination—and how technology affects civil and human rights and economic equity The State of Indiana denies one million applications for healthcare, foodstamps and cash benefits in three years—because a new computer system interprets any mistake as “failure to cooperate.” In Los Angeles, an algorithm calculates the comparative vulnerability of tens of thousands of homeless people in order to prioritize them for an inadequate pool of housing resources. In Pittsburgh, a child welfare agency uses a statistical model to try to predict which children might be future victims of abuse or neglect. Since the dawn of the digital age, decision-making in finance, employment, politics, health and human services has undergone revolutionary change. Today, automated systems—rather than humans—control which neighborhoods get policed, which families attain needed resources, and who is investigated for fraud. While we all live under this new regime of data, the most invasive and punitive systems are aimed at the poor. In Automating Inequality, Virginia Eubanks systematically investigates the impacts of data mining, policy algorithms, and predictive risk models on poor and working-class people in America. The book is full of heart-wrenching and eye-opening stories, from a woman in Indiana whose benefits are literally cut off as she lays dying to a family in Pennsylvania in daily fear of losing their daughter because they fit a certain statistical profile. The U.S. has always used its most cutting-edge science and technology to contain, investigate, discipline and punish the destitute. Like the county poorhouse and scientific charity before them, digital tracking and automated decision-making hide poverty from the middle-class public and give the nation the ethical distance it needs to make inhumane choices: which families get food and which starve, who has housing and who remains homeless, and which families are broken up by the state. In the process, they weaken democracy and betray our most cherished national values. This deeply researched and passionate book could not be more timely.


Real-World Cryptography

Real-World Cryptography
Author: David Wong
Publisher: Simon and Schuster
Total Pages: 398
Release: 2021-10-19
Genre: Computers
ISBN: 1638350841

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"A staggeringly comprehensive review of the state of modern cryptography. Essential for anyone getting up to speed in information security." - Thomas Doylend, Green Rocket Security An all-practical guide to the cryptography behind common tools and protocols that will help you make excellent security choices for your systems and applications. In Real-World Cryptography, you will find: Best practices for using cryptography Diagrams and explanations of cryptographic algorithms Implementing digital signatures and zero-knowledge proofs Specialized hardware for attacks and highly adversarial environments Identifying and fixing bad practices Choosing the right cryptographic tool for any problem Real-World Cryptography reveals the cryptographic techniques that drive the security of web APIs, registering and logging in users, and even the blockchain. You’ll learn how these techniques power modern security, and how to apply them to your own projects. Alongside modern methods, the book also anticipates the future of cryptography, diving into emerging and cutting-edge advances such as cryptocurrencies, and post-quantum cryptography. All techniques are fully illustrated with diagrams and examples so you can easily see how to put them into practice. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Cryptography is the essential foundation of IT security. To stay ahead of the bad actors attacking your systems, you need to understand the tools, frameworks, and protocols that protect your networks and applications. This book introduces authentication, encryption, signatures, secret-keeping, and other cryptography concepts in plain language and beautiful illustrations. About the book Real-World Cryptography teaches practical techniques for day-to-day work as a developer, sysadmin, or security practitioner. There’s no complex math or jargon: Modern cryptography methods are explored through clever graphics and real-world use cases. You’ll learn building blocks like hash functions and signatures; cryptographic protocols like HTTPS and secure messaging; and cutting-edge advances like post-quantum cryptography and cryptocurrencies. This book is a joy to read—and it might just save your bacon the next time you’re targeted by an adversary after your data. What's inside Implementing digital signatures and zero-knowledge proofs Specialized hardware for attacks and highly adversarial environments Identifying and fixing bad practices Choosing the right cryptographic tool for any problem About the reader For cryptography beginners with no previous experience in the field. About the author David Wong is a cryptography engineer. He is an active contributor to internet standards including Transport Layer Security. Table of Contents PART 1 PRIMITIVES: THE INGREDIENTS OF CRYPTOGRAPHY 1 Introduction 2 Hash functions 3 Message authentication codes 4 Authenticated encryption 5 Key exchanges 6 Asymmetric encryption and hybrid encryption 7 Signatures and zero-knowledge proofs 8 Randomness and secrets PART 2 PROTOCOLS: THE RECIPES OF CRYPTOGRAPHY 9 Secure transport 10 End-to-end encryption 11 User authentication 12 Crypto as in cryptocurrency? 13 Hardware cryptography 14 Post-quantum cryptography 15 Is this it? Next-generation cryptography 16 When and where cryptography fails