Learning Technology

Do you know that there's a lot more to Excel, but have no idea what to learn? This audiobook could be the answer you're looking for. You'll learn: Introduction to Advanced Excel, Optimization using the Solver Function, Sensitivity Analysis, and much more.

No time to read/listen to the original book? Get the main key insights from Summary of Walter Isaacson’s The Code Breaker in 23 minutes or less. After her parents moved from Washington, DC, to Hilo, Hawaii, Jennifer Doudna had a rough childhood trying to fit in. This pushed her to focus on science and books.

Are you looking for ways to streamline your work and reduce burnout, while bringing a new level of engagement to your students? Mastering AI for Educators Made Easy teaches you how to use AI in the classroom and capitalize on the power of ChatGPT to redefine your teaching experience. This book package includes both Teaching With AI and ChatGPT for Teachers Made Easy.

After billions of dollars and 50 years of effort, researchers are finally cracking the code on artificial intelligence. As society stands on the cusp of unprecedented change, Jerry Kaplan unpacks the latest advances in robotics, machine learning, and perception powering systems that rival or exceed human capabilities. Driverless cars, robotic helpers, and intelligent agents that promote our interests have the potential to usher in a new age of affluence and leisure.

Master Artificial Intelligence in no time, even if you're a total beginner or a tech novice with our essential guide — Empower your career and simplify your daily life! Does the world of AI and machine learning seem intimidating, complex, or out of reach? Are you interested in diving into the realm of AI but have no idea where to start? Are you overwhelmed by endless information and complex terminologies that seem to make AI learning more challenging? You're not alone!

We live in an incredible period in history. The computer revolution may be even more life-changing than the Industrial Revolution. We can do things with computers that could never be done before, and computers can do things for us that could never be done before. But our love of computers should not cloud our thinking about their limitations. The AI Delusion explains why we should not be intimidated into thinking that computers are infallible, that data-mining is knowledge discovery, and that black boxes should be trusted.

Three manuscripts in one book! You do not want to miss out on this incredible offer. What you'll learn: fundamentals of neural networks; algorithms; transactional control commands; understanding cursors, triggers, and errors; and much, much more.

Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a truly robust artificial intelligence. Taking inspiration from the human mind, professors Gary Marcus and Ernest Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.

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.

Coding is the modern world's DNA. To create any website, phone app, computer software, and even to make several household appliances functional requires coding. Coding is a part of all of our lives and will only become more relevant as time goes on. This is why coders play such an important role in defining the digital era and the future. The world needs coding.

Steve Jobs, adopted in infancy by a family in San Francisco, packed a lot of life into 56 short years. In this Who Was...? biography, children will learn how his obsession with computers and technology at an early age led him to cofound and run Apple in addition to turning Pixar into a groundbreaking animation studio. A college dropout, Jobs took unconventional steps in his path to success and inspired the best and the brightest to come with him and "change the world".

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target—from ultra-low power microcontrollers to embedded Linux devices.

Bill Gates, whose vision of the personal computer propelled Microsoft into one of the world's leading companies, astonished the business community in 1996 by abruptly reinventing his entire company around the Internet. He explains why the Internet has revolutionized not just Microsoft but everything else too - and at a faster pace than even he had anticipated.

Este audiolibro te presentará el mundo digital. La ciencia de datos es uno de los campos más sorprendentes y de tendencia en la era digital. La ciencia de datos es lo que nos hace humanos como somos hoy. No se limita a las tecnologías controladas por computadora, este audiolibro lo guiará para visualizar los hechos digitales y las conexiones de nuestro cerebro con la ciencia de datos, cómo sacar conclusiones de información simple y cómo desarrollar patrones para comprender diferentes soluciones para un problema similar.

With exclusive access to Elon, his family, and his friends, this book traces Elon's journey from a kid in South Africa to a young man in the United States, his dramatic technical inventions, and his world-changing companies. Elon has sparked new levels of innovation in the world, and this book gives young listeners a detailed but fast-paced look at his story.

Python is one of the easiest coding languages to master because it bases itself on the English language. Intuitive and simple, anyone can get started with programming in Python, almost overnight! It can even jumpstart your hobby or career in tech, taking you places you never thought you could go. And this is where this book comes into play… it’s your launchpad into the phenomenal world of Python programming.

Machines That Think explores how artificial intelligence helps us understand human intelligence, machines that compose music and write stories - and asks if AI is really a threat. Sometime in the future, the intelligence of machines will exceed that of human brain power. So are we on the edge of an AI-pocalypse, with superintelligent devices superseding humanity, as predicted by Stephen Hawking? Or will this herald a kind of utopia, with machines doing a far better job at complex tasks than us?

Innovation is the subject of countless books and courses, but there's very little out there about how you actually innovate. Innovation and entrepreneurship are not one and the same, although aspiring innovators often think of them that way. They are told to get an idea and a team and to build a show-and-tell for potential investors. In Innovating, Luis Perez-Breva describes another approach.

We are in the midst of one of the greatest status revolutions ever, and it's a brave new world indeed. Who better to guide us through it than Michael Lewis, whose subversive, trenchant humor is the perfect match to his subject matter. Here is an audiobook as fresh as tomorrow's headlines, and as entertaining as its best selling predecessors.

Real-World Machine Learning will teach you the concepts and techniques you need to be a successful machine learning practitioner without overdosing you on abstract theory and complex mathematics. By working through immediately relevant examples in Python, you'll build skills in data acquisition and modeling, classification, and regression. You'll also explore the most important tasks like model validation, optimization, scalability, and real-time streaming. When you're done, you'll be ready to successfully build, deploy, and maintain your own powerful ML systems.