Computer Science Technology

Master Practical AI and Unleash the Power of ChatGPT in Just 7 Days, Even If You're an Absolute Beginner! Are you overwhelmed by Artificial Intelligence and Natural Language Processing? Do you want to leverage ChatGPT but don’t know where to start? You're not alone. Many beginners feel alienated by jargon and technicalities. But what if mastering ChatGPT could be simple, rewarding, and achievable in just 7 days? This beginner-friendly guide is your ticket to overcoming ChatGPT fears and unlocking its full potential.

Bold is a radical, how-to guide for using exponential technologies, moonshot thinking, and crowd-powered tools to create extraordinary wealth while also positively impacting the lives of billions.

Shannon Vallor makes a wide-ranging, prophetic, and philosophical case for what AI could be: a way to reclaim our human potential for moral and intellectual growth, rather than lose ourselves in mirrors of the past. Rejecting prophecies of doom, she encourages us to pursue technology that helps us recover our sense of the possible, and with it the confidence and courage to repair a broken world. Vallor calls us to rethink what AI is and can be, and what we want to be with it.

Voilà bientôt deux ans que le monde entier vit avec l’IA générative. Cette technologie est entrée dans nos vies fin 2022 avec le phénomène ChatGPT, ce robot conversationnel qui répond à toutes nos questions ou presque en quelques secondes. Sa facilité d’utilisation, ses attributs quasi humains et la qualité de ses réponses ont surpris la planète entière. Depuis, l’IA est partout : à la une des médias, dans les entreprises et dans les discours politiques. Même le Vatican a dû élaborer une ligne de conduite sur le sujet.

Computers have changed since 1981, when Tracy Kidder memorably recorded the drama, comedy, and excitement of one company's efforts to bring a new microcomputer to market. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations.

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.

Audie Award, History/Biography, 2016. On the night of July 20, 1969, our world changed forever when Neil Armstrong and Buzz Aldrin walked on the moon. Based on in-depth interviews with 23 of the 24 moon voyagers, as well as those who struggled to get the program moving, A Man on the Moon conveys every aspect of the Apollo missions with breathtaking immediacy and stunning detail.

Under the aegis of machine learning in our data-driven machine age, computers are programming themselves and learning about - and solving - an extraordinary range of problems, from the mundane to the most daunting. Today it is machine learning programs that enable Amazon and Netflix to predict what users will like, Apple to power Siri's ability to understand voices, and Google to pilot cars.

The Guide to Going Viral is like a director’s manual for social media. It provides a step-by-step approach to crafting content with the impact of a classic film. Brendan Kane leverages his expertise in social media, entrepreneurship, and the film industry to blend the art of filmmaking with strategies for viral content creation.

The greatest tool is the hardest to use. Machine learning is the world's most important general-purpose technology—but it's notoriously difficult to launch. Outside Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What's missing? A specialized business practice suitable for wide adoption. In The AI Playbook, bestselling author Eric Siegel presents the gold-standard, six-step practice for ushering machine learning initiatives, aka predictive AI projects, from conception to deployment.

The internet of today is a far cry from its early promise of a decentralized, democratic network of innovation, connection, and freedom. In the past decade, it has fallen almost entirely under the control of a very small group of companies like Apple, Google, and Facebook. In Read Write Own, tech visionary Chris Dixon argues that the dream of an open network for fostering creativity and entrepreneurship doesn’t have to die and can, in fact, be saved with blockchain networks.

A new way of thinking that improves how we work, create and live, empowering listeners to outsmart AI—a tool that can never do what humans do.

Humans have always been good at inventing tools that change the way we live and work—though not always good at adapting to those changes. Consider how the internet has given us instant access to gigabytes of data and yet has made us more distracted. Or how social media has enabled us to be more connected than ever, and yet it can also alienate or isolate us. Will the power of AI create a new era of robotic, impersonal efficiency, or will it catalyze a renaissance, redefining leadership and the world of work?

On the surface, a British poet, an UberEats courier in Pittsburgh, an Indian doctor, and a Chinese activist in exile have nothing in common. But they are in fact linked by a profound common experience—unexpected encounters with artificial intelligence. In Code Dependent, Murgia shows how automated systems are reshaping our lives all over the world, from technology that marks children as future criminals, to an app that is helping to give diagnoses to a remote tribal community.

Do you have a big interest in computers and how they work? Are you interested in learning how to become a hacker? Would you like to learn all of this in a safe and secure manner that can make life easier? Computer Networking: All in One contains all the knowledge you need to achieve your goals in the computer world.

As humans compete for work against faster, cheaper, and smarter technology, the flood of AI-generated information undermines traditional expertise, eroding essential skills like writing, analysis, and decision-making. Despite these challenges, AI presents immense opportunities for those who master its intricacies, such as driving innovation, improving efficiency, and creating new markets. Can we thread the needle balancing the immeasurable benefits with the profound risks that AI presents to our future?

For over a decade, Taylor Lorenz has been the authority on internet culture, documenting its far-reaching effects on all corners of our lives. Her reporting is serious yet entertaining and illuminates deep truths about ourselves and the lives we create online. In her debut book, Extremely Online, she reveals how online influence came to upend the world, demolishing traditional barriers and creating whole new sectors of the economy. Lorenz shows this phenomenon to be one of the most disruptive changes in modern capitalism.

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.

This groundbreaking book is your ultimate guide to understanding and leveraging the power of artificial intelligence. Whether you're a curious beginner, a tech enthusiast, or an entrepreneur ready to revolutionize your business, this guide provides you with everything you need to navigate the AI-driven future.

The best-selling author of Inside Steve's Brain profiles Apple's legendary chief designer, Jonathan Ive. Jony Ive's designs have not only made Apple one of the most valuable companies in the world; they've overturned entire industries, from music and mobile phones to PCs and tablets.