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Teaching in the Age of Artificial Intelligence: From Robots to Rocket Science. This book explores how artificial intelligence is changing education — from traditional classrooms to smart, personalized learning environments. This insightful book bridges the gap between emerging technologies and modern education, providing teachers, students, and policymakers with a roadmap for thriving in a world driven by artificial intelligence.

Learn Hacking From Scratch and Start a Career (Practical Application) This is the second edition of our ebook, 'Learn Hacking From Scratch and Start a Career'. This book is actually a practical demonstration of Hacking. What will you learn ? Practical steps of Hacking Roadmap of Ethical Hacking. Kali linux WiFi Hacking Website Hacking Cracking Passwords, RDPs, etc. And more..

People are now exposed to more information than ever before, provided both by technology and by increasing access to every level of education. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today, everyone knows everything and all voices demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism.

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.

From Oxford's leading AI researcher comes a fun and accessible tour through the history and future of one of the most cutting edge and misunderstood field in science: artificial intelligence.

Whether we like it or not, the AI revolution is coming to education. In Brave New Words, Salman Khan, the visionary behind Khan Academy, explores how artificial intelligence and GPT technology will transform learning, and offers a road map for teachers, parents, and students to navigate this exciting (and sometimes intimidating) new world. A pioneer in the field of education technology, Khan examines the ins and outs of these cutting-edge tools and how they will revolutionize the way we learn and teach.

Are you overwhelmed by AI jargon and complex concepts? Do you wish for a simple guide to show you how AI can transform your life and career? You’re not alone! Many people feel the same way, but with AI for Beginners, you’ll gain clarity and confidence in this ever-evolving field.

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. The book addresses real-life problems faced by practitioners on a daily basis and explains scientifically sound solutions using math, supported by code and examples.

The world of computers is growing at an unrecordable rate every day. Computers are the most influential tools in our lives. They are our present and future. Most users see a computer at the front and use the graphical user interfaces. The first time I used a computer, it intrigued me to know how these interfaces work. In this book, you will learn the same way I did.

This book attempts to teach Swift Programming, from Novice to Expert. Topics covered include: • Swift • Frameworks and APIs • Data Structures and Algorithms • Mathematics • Data Science and Machine Learning • IO and Databases • Cryptography and Hacking • Networking • Fast-running Code • Blockchain • .... And more

This book provides a short summary and overview of data structures, algorithms, and machine learning. It is meant to introduce these topics to those new to programming for data analysis and engineering as well as provide a means for those familiar in these topics to explore them in Ruby.

You don't have to be a computer scientist to have discerning conversations about artificial intelligence and technology. We all wonder where we're headed. Even now, technological innovations and machine learning have a daily impact on our lives, and many of us see good reasons to dread the future. Are we doomed to the surveillance society imagined in George Orwell's 1984? Mathematician and philosopher John Lennox believes that there are credible responses to the daunting questions that AI poses.

In today's technological society, with an unprecedented amount of information at our fingertips, learning plays a more central role than ever. In How We Learn, Stanislas Dehaene decodes its biological mechanisms, delving into the neuronal, synaptic and molecular processes taking place in the brain. He explains why youth is such a sensitive period, during which brain plasticity is maximal, but also assures us that our abilities continue into adulthood, and that we can enhance our learning and memory at any age.

Creating superior intelligence would be the biggest event in human history. Unfortunately, according to the world's pre-eminent AI expert, it could also be the last. In this groundbreaking book on the biggest question facing humanity, Stuart Russell explains why he has come to consider his own discipline an existential threat to his own species, and lays out how we can change course before it's too late. There is no one better placed to assess the promise and perils of the dominant technology of the future than Russell, who has spent decades at the forefront of AI research.

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.

To most of us, it seems like recent developments in artificial intelligence emerged out of nowhere to pose unprecedented threats to humankind. But to Dr. Joy Buolamwini, who has been at the forefront of AI research, this moment has been a long time in the making.

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.

This book will teach and guide you though steps like saving files and understanding F1 - F12 keys. It's a great book to help start you out with your basic computer needs.

Unleash the power of Generative AI in less than 30 days. Turn tech curiosity into a practical skillset even if you're a beginner. Don't let your perception of what's difficult hold you back. This book is designed specifically with simplicity in mind, tailored for those who may be stepping into the world of AI for the first time. It is packed with interactive, up-to-date exercises and real-world applications, that will guide you every step of the way, ensuring that you stay connected to the most relevant and useful topics in AI.

If you read (or listen to) nothing else on artificial intelligence and machine learning, listen to these ten articles. We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you understand the future direction of AI, bring your AI initiatives to scale, and use AI to transform your organization.