Títulos em Computadores e Tecnologia

Three of the world’s most accomplished and deep thinkers come together to explore Artificial Intelligence (AI) and the way it is transforming human society—and what this technology means for us all. An AI learned to win chess by making moves human grand masters had never conceived. Another...

Um estudo definitivo sobre o vício comportamental, um problema a que todos nós estamos sujeitos em razão das irresistíveis tecnologias digitais do mundo de hoje. Somos obcecados com nossos e-mails e redes sociais, e passamos horas usando nossos smartphones. Neste livro revolucionário, o professor de psicologia e marketing Adam Alter analisa o crescimento do vício comportamental, e explica por que a maioria dos produtos de hoje é irresistível.

Confused about AI and worried about what it means for your future and the future of the world? You're not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn't, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don't work, and probably never will.

Tecnologia, estratégia e inovação: entenda como o Ifood se tornou um organismo vivo com resultados exponenciais e desbloqueie o poder do seu negócio! Em 2018, o iFood levantou 500 milhões de dólares, a maior captação por uma startup da América Latina até então. No desenho da estratégia, a empresa enfatizou a necessidade de acelerar o processo de evolução em direção à Inteligência Artificial.

Uma incrível jornada pela história da inovação ao longo dos séculos por um dos mais influentes pensadores da tecnologia. Refrigeração, relógios, lentes, água potável, gravação de som e luz artificial - elementos fundamentais de nossa vida diária - são esquadrinhados de forma totalmente original, desde sua remota criação por inventores diletantes, amadores e empreendedores visionários, aos efeitos e evoluções que desencadearam.

We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.

Máquinas podem escrever livros? A inteligência artificial pode ser usada para negócios? As telas de toque estarão por aí ou serão substituídas pelo reconhecimento de voz? O que são deepfakes? Como funcionam os carros autônomos e eles serão uma realidade em breve? Todas essas questões vêm à luz neste audiolivro breve, mas informativo, sobre inteligência artificial.

Muitas pessoas têm perguntas sem resposta sobre inteligência artificial. Hoje, a maioria dessas perguntas provavelmente será respondida. Preocupações serão abordadas e exemplos serão dados. Este audiolivro começa com uma seção de perguntas e respostas sobre inteligência artificial. Em seguida, passa a abranger aplicativos específicos artificialmente inteligentes, como chatbots e robótica. Essas seções mostrarão detalhes de coisas que confundem a mente de muitas pessoas.

What does it mean to be smart? To be human? What do we really want from life and the intelligence we have, or might create? With deep and exclusive reporting, across hundreds of interviews, New York Times Silicon Valley journalist Cade Metz brings you into the rooms where these questions are being answered. Where an extraordinarily powerful new artificial intelligence has been built into our biggest companies, our social discourse, and our daily lives, with few of us even noticing.

This friendly guide teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. This accesible introduction is suitable for self-taught programmers, engineers, or anyone who wants to brush up on algorithms. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python.

I want to thank you for checking out the audiobook Domain Driven Design: How to Easily Implement Domain Driven Design - A Quick & Simple Guide. This book contains proven steps and strategies on how you can implement the domain-driven design approach in your projects to bring out better results. Through the domain-driven design approach, you and your project team will better understand the domain that you aim to serve and communicate in a common language that can ensure harmony and team work with your group.

We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.

From the bestselling author of Blood, Sweat, and Pixels comes the next definitive, behind-the-scenes account of the video game industry: how some of the past decade's most renowned studios fell apart—and the stories, both triumphant and tragic, of what happened next. Jason Schreier's...

Recent years have seen a revival of the heated culture wars of the 1990s, but this time its battleground is the Internet. On one side the alt-right ranges from the once obscure neo-reactionary and white separatist movements, to geeky subcultures like 4chan, to more mainstream manifestations such as the Trump-supporting gay libertarian Milo Yiannopolous. On the other side, struggle sessions and virtue signaling lurk behind a therapeutic language of trigger warnings and safe spaces. The feminist side of the online culture wars has its equally geeky subcultures.

From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of human memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living.

Analytics and Data Reporting for Beginners introduces essential concepts and techniques to help you navigate the world of data with confidence. This guide simplifies the fundamentals of data analysis, reporting, and visualization, making it accessible for newcomers. Learn how to transform raw data into actionable insights and create clear, impactful reports that support strategic decision-making. Ideal for anyone starting their journey in data analytics and reporting.

Using accessible visual metaphors and concrete methods and examples, Design for How People Learn, Second Edition will teach you how to leverage the fundamental concepts of instructional design both to improve your own learning and to engage your audience.

In How To Think About AI, Richard Susskind draws on his experience of working on AI since the early 1980s. For Susskind, balancing the benefits and threats of artificial intelligence is the defining challenge of our age. He explores the history of AI and possible scenarios for its future. His views on AI are not always conventional. He positions ChatGPT and generative AI as no more than the latest chapter in the ongoing story of AI and claims we are still at the foothills of developments.

In The Experimentation Machine, HBS professor, entrepreneur, and venture capitalist Jeffrey J. Bussgang reveals how AI is transforming the way startups find product-market fit and scale.

This audiobook is a summary of the advice I’ve given to software engineers over the years–and then some more. This audiobook follows the structure of a “typical” career path for a software engineer, from starting out as a fresh-faced software developer, through being a role model senior/lead, all the way to the staff/principle/distinguished level. It summarizes what I’ve learned as a developer and how I’ve approached coaching engineers at different stages of their careers.