Computer Science Technology

In this riveting suspense thriller, two children race the clock to stop a futuristic murderer and his plan to enslave the world. In 30 days, a coldhearted corporate tycoon will unleash a deadly biological computer virus on the entire world. As the public eagerly awaits his invention that promises ultimate relaxation, harmony, and community, the evil big-business sorcerer plans to put an end to freedom. Can he be stopped?

Easy to understand and engaging, this updated edition of Introducing Python is ideal for beginning programmers as well as those new to the language. Author Bill Lubanovic takes you from the basics to more involved and varied topics, mixing tutorials with cookbook-style code recipes to explain concepts in Python 3. End-of-chapter exercises help you practice what you've learned.

A compelling look inside the Space Shuttle missions that helped lay the groundwork for the Space Age, Shuttle, Houston explores the determined personalities, technological miracles, and 11th-hour saves that have given us human spaceflight. Relaying stories of missions (and their grueling training) in vivid detail, Paul Dye, NASA's longest-serving flight director, examines the split-second decisions that the directors and astronauts were forced to make in a field where mistakes are unthinkable and errors led to the loss of national resources - and more importantly one's crew.

Causal Inference provides a brief and nontechnical introduction to randomized experiments, propensity scores, natural experiments, instrumental variables, sensitivity analysis, and quasi-experimental devices. Ideas are illustrated with examples from medicine, epidemiology, economics and business, the social sciences, and public policy.

Impromptu: Amplifying Our Humanity Through AI, written by Reid Hoffman with GPT-4, offers listeners a travelog of the future–exploring how AI, and especially Large Language Models like GPT-4, can elevate humanity across key areas like education, business, and creativity.

In the very near future, smart “technologies and big data” will allow us to make large-scale and sophisticated interventions in politics, culture, and everyday life. Technology will allow us to solve problems in highly original ways and create new incentives to get more people to do the right thing. But how will such “solutionism” affect our society, once deeply political, moral, and irresolvable dilemmas are recast as uncontroversial and easily manageable matters of technological efficiency?

Optimization is the driving principle of our modern world. We now can manufacture, transport, and organize things more cheaply and faster than ever. Optimized models underlie everything from airline schedules to dating site matches. We strive for efficiency in our daily lives, obsessed with productivity and optimal performance. How did a mathematical concept take on such outsize cultural shape? And what is lost when efficiency is gained? Optimal Illusions traces the fascinating history of optimization from its roots in America’s founding principles to its modern manifestations.

Amazon Web Services (AWS) is a cloud computing platform. It is a collection of remote computing services that together make up a cloud computing platform, offered over the Internet by Amazon.com.

It is natural for us to fear artificial intelligence. But does Siri really want to kill us? Perhaps we are falling into the trap of projecting human traits onto the machines we might build. In Evolutionary Intelligence, Neuman offers a surprisingly positive vision in which computational intelligence compensates for the well-recognized limits of human judgment, improves decision making, and actually increases our agency. Neuman takes the listener on an exciting, fast-paced ride, all the while making a convincing case about a revolution in computationally augmented human intelligence.

When Ashley Shew became a self-described "hard-of-hearing chemobrained amputee with Crohn's disease and tinnitus," there was no returning to "normal." Suddenly well-meaning people called her an "inspiration" while grocery shopping or viewed her as a needy recipient of technological wizardry. Most disabled people don't want what the abled assume they want—nor are they generally asked. In vibrant prose, Shew shows how we can create better narratives and more accessible futures by drawing from the insights of the cross-disability community.

The Japanese roleplaying game (JRPG) genre is one that is known for bold, unforgettable characters; rich stories; and some of the most iconic and beloved games in the industry. Inspired by early Western RPGs and introducing technology and artistic styles that pushed the boundaries of what video games could be, this genre is responsible for creating some of the most complex, bold, and beloved games in history. In Fight, Magic, Items, Aidan Moher guides listeners through the history of JRPGs.

Artificial Intelligence (AI) is causing massive changes in our lives, both at the individual and societal level, with the global AI market expected to reach around 126 billion US dollars by 2025. As more and more decision-making moves to AI systems, unique risks are being introduced. However, this topic can be quite challenging for newcomers who want to understand the governance and cyber-security risks that AI introduces. This book assumes zero prior knowledge of AI or machine learning and explains in an easy-to-understand way how to govern and secure AI.

Are you looking to get started with Python and machine learning? Look no further! This comprehensive two-in-one bundle is the perfect audio resource for beginners looking to learn both Python and machine learning in one easy guide. With this audiobook, you'll be able to grasp the basic fundamentals of Python and learn how to use it to solve real-world problems. You'll also get a crash course in machine learning including key concepts, algorithms, and techniques.

Are you ever overwhelmed with the amount of information online? Find out how to navigate the online world easily and safely.

If a strange person asks to be your online friend, do you know what to do? Don’t worry if you don’t. This book is here to help! Learn tech-savvy ways to keep your social networking sites safe without taking away all the fun!

What does it mean to be biased? Emerging listeners need to know the differences between facts, fiction, and opinions. Listeners will also learn how facts, fiction, and opinions affect advertisements, news reports, blogs, and more.

What exactly is a primary source? How does it compare to other types of sources? Emerging listeners need to know the difference. Listeners will also be introduced to the concept of plagiarism, how to choose sources for their writing and reports, checking source dates and accuracy, and more.

Una novela sobrecogedora sobre los peligros de la sobreexposición en redes, la explotación infantil y la falsa felicidad.

Mélanie Claux y Clara Roussel. Dos mujeres conectadas a través de una niña. Mélanie ha participado en un reality show televisivo y es seguidora de sus sucesivas ediciones. Cuando se convierte en madre de un niño y una niña, Sammy y Kimmy, empieza a grabar su día a día y cuelga los vídeos en YouTube. Crecen en visitas y seguidores, llegan los patrocinadores, Mélanie crea su propio canal y el dinero fluye...

Technology rules us as much as laws do. It shapes the legal, social, and ethical environments in which we act. Every time we cross a street, drive a car, or go to the doctor, we submit to the silent power of technology. Yet, much of the time, the influence of technology on our lives goes unchallenged by citizens and our elected representatives. Our embrace of novel technological pathways, Sheila Jasanoff shows, leads to a complex interplay among technology, ethics, and human rights.

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack.