Showing titles in Computer Science

If you have tried everything imaginable but have never been able to use artificial intelligence to scale your business or enhance your projects, then this could be one of the most important audiobooks you have listened to in years. Practical Artificial Intelligence: An Enterprise Playbook is written to give you an in-depth view of Artificial Intelligence and how it can be used to make analytics more productive and efficient at workplaces.

In the past two decades, GMOs have come to dominate the American diet. Advocates hail them as the future of food, an enhanced method of crop breeding that can help feed an ever-increasing global population and adapt to a rapidly changing environment. Critics, meanwhile, call for their banishment, insisting GMOs were designed by overeager scientists and greedy corporations to bolster an industrial food system that forces us to rely on cheap, unhealthy, processed food so they can turn an easy profit.

This book is designed to reveal secret techniques and equip you with real-world, immediate applications for various coding and development challenges. Each scenario unveils a unique situation, offers a specific prompt, and explores the robust and insightful response from ChatGPT. But the book hides more—it delves deep into instructive commentary, unveiling hidden insights on each scenario, providing a deeper understanding and larger context.

¿Te sientes abrumado por la IA y el procesamiento del lenguaje natural? ¿Quieres aprovechar ChatGPT pero no sabes por dónde empezar? No estás solo. Muchos principiantes se sienten alienados por la jerga y las tecnicidades. ¿Qué tal si dominar ChatGPT pudiera ser simple y gratificante, alcanzable en solo 7 días? ¡A solo 7 días de desbloquear el enorme potencial de ChatGPT e integrarlo en tu vida diaria! La IA, el NLP y ChatGPT accesibles para cualquiera dispuesto a aprender. ¡Comienza tu viaje hacia el dominio de ChatGPT hoy mismo!

Each term is arranged alphabetically, making it easy to find, with a formal definition, then a simple jargon-free explanation, and then a real-life example. If you think that Artificial intelligence (AI) is only for IT experts, not leaders or executives, or that understanding AI terms requires a technical background or prior IT knowledge, then this is the book for you.

It is time for you to start learning what machine learning and artificial intelligence are all about. Learn about neural networks, Python and machine learning, examples of machine learning, how machine learning is beneficial to you, cognitive NLP chatbots, cognitive NLP algorithms, and more.

Machine learning occurs primarily through the use of algorithms and other elaborate procedures. Whether you're a novice, intermediate, or expert this book will teach you all the ins, outs and everything you need to know about machine learning. Instead of spending hundreds or even thousands of dollars on courses/materials why not listen to this audiobook instead? It's a worthwhile listen and the most valuable investment you can make for yourself.

Caitlin Shetterly discovered the importance of GMOs the hard way. Shortly after she learned that her son had an alarming sensitivity to GMO corn, she was told that she had the same condition, and her family's daily existence changed forever. An expansion of Shetterly's viral Elle article "The Bad Seed", Modified delves deep into the heart of the matter - from the cornfields of Nebraska to the beekeeping conventions in Brussels - to shine a light on the people, the science, and the corporations behind the food we serve ourselves and our families every day.

Turn ChatGPT into a Cash Machine goes beyond superficial promises by providing you with proven strategies to build a sustainable work-from-home venture. Additionally, this book unlocks the immense potential of ChatGPT and helps you transform your WFM experience into a profitable and fulfilling journey.

From product design and financial modeling to performance management and hiring decisions—artificial intelligence and machine learning are becoming everyday tools for managers at businesses of all sizes. But the rewards of every AI system come with risks—and if you don't understand how to make sense of them, you're not going to make the right decisions. Whether you want to get up to speed quickly, could just use a refresher, or are working with an AI expert for the first time, HBR Guide to AI Basics for Managers will give you the information and skills you need.

Today, many decisions that could be made by human beings from predicting earthquakes to interpreting languages can now be made by computer algorithms with advanced analytic capabilities....Algorithms can better predict human behavior than trained psychologists and with much simpler criteria. Studies continue to show that the algorithms can do a better job than experts in a range of fields. Artificial intelligence is reshaping healthcare, science, engineering and life. The results will make our lives more productive, better organized, and essentially, much happier.

Ten years from today, the center of our digital lives will no longer be the smart phone, but device that looks like ordinary eyeglasses: except those glasses will have settings for virtual and augmented reality. What you really see and what is computer generated will be mixed so tightly together, that we won't really be able to tell what is real and what is illusion.

To understand machine learning, you need to understand what it means and how it affects you. Machine learning is a method the utilizes data analysis to provide an automatic system of analysis for model building that involves analytics. This is a specific branch of artificial intelligence based solely on ideas that say that through a system, you can begin to learn the data that is needed for pattern identification and decision-making that will include minimal amounts of human interaction and intervention.

Deep learning is a very exciting concept. Before, computers could only do what they were directly taught. Today, they can make sense of unstructured data and learn without supervision, like good college students. This unsupervised learning from unstructured data is called deep learning. This book will explain the key concepts of deep learning and teach you the basics of Python, the programming language most widely used in deep learning.

This box set includes three books: Python Programming for Beginners - Learn the Basics of Python in 7 Days!, Python Programming for Intermediates - Learn the Basics of Python in 7 Days!, and Python Programming for Advanced - Learn the Basics of Python in 7 Days!

Are you ready to discover groundbreaking ways to generate Money online? Dive into "ChatGPT Money Mastery: 3 books in 1." This comprehensive guide equips you with the knowledge and tools to transform your financial future.

Hay una revolución en marcha, una tecnología prodigiosa que nos va a permitir curar enfermedades, derrotar virus y tener hijos más sanos. A su cabeza está la reciente premio Nobel Jennifer Doudna y sus colegas, protagonistas del nuevo libro de Walter Isaacson.

GANs in Action teaches you how to build and train your own Generative Adversarial Networks, one of the most important innovations in deep learning. In this book, you'll learn how to start building your own simple adversarial system as you explore the foundation of GAN architecture: the generator and discriminator networks.

Veteran software developer and GitHub community hero Kurt Dowswell delivers an insightful and hands-on exploration of GitHub's powerful, new AI coding assistant, Copilot. In the book, you'll discover how to use the tool's capabilities to push the boundaries of what you thought was possible in programming. Even if you've used autocomplete tools-like VS Code's TabNine extension—before, you'll be floored by GitHub Copilot's potential to transform the way you code.

In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI.