Learning Artificial Intelligence

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning models from scratch, including variational autoencoders (VAEs), generative adversarial networks (GANs), Transformers, normalizing flows, energy-based models, and denoising diffusion models.

"Teaching with AI" offers a straightforward, practical guide to using AI for educators and teachers, even if you're starting from scratch. Learn how to effectively implement AI in the classroom, preparing your students for a future shaped by technology.

This book explores the impact of artificial intelligence on the workplace, human performance, and learning and development. AI is all around us. It has become an everyday thing. It helps us, it frustrates us and sometimes it makes us laugh. It impacts how we work, where we work and what we do at work. After years of “the robots are coming,” the bots have arrived. It’s hard these days to talk to a human in customer service. Barriers to entry kept AI at bay for decades, then it all changed.

AI for Beginners: Using Artificial Intelligence for Good, Essential Basics, Creative Ideas, and Side Hustles is a comprehensive guide that covers the basics of AI and provides practical, hands-on tips for getting started with AI projects.

Machine learning (and also data science) is a computer algorithm that learns how to improve, adjust, and formulate new rules into itself. It's an important, high-demand field that is going to be the future of computer programming....

The deep-learning revolution has brought us driverless cars, the greatly improved Google Translate, fluent conversations with Siri and Alexa, and enormous profits from automated trading on the New York Stock Exchange. Deep-learning networks can play poker better than professional poker players and defeat a world champion at Go. In this book, Terry Sejnowski explains how deep learning went from being an arcane academic field to a disruptive technology in the information economy.

You’ve tried traditional teaching methods; you’ve tried more modern approaches… but the challenge remains the same: You have more needs to cater to than one person can reasonably handle. You’re one person, and you can’t do it all… but there’s a tool that could help you. When you integrate AI into your learning environment, you can tailor assignments to the specific needs of each individual in your class, getting instant feedback to help you plan the next move and keep your students engaged.

Machine Learning: The History of Automating Computers to Observe and Analyze Data looks at the attempts to develop machine learning, from successes to failures. You will learn about machine learning like never before.

Muchas personas tienen preguntas sin respuesta sobre inteligencia artificial. Hoy, la mayoría de esas preguntas probablemente serán respondidas. Se abordarán las preocupaciones y se darán ejemplos. La sociedad está cambiando rápidamente debido a los sistemas automatizados que benefician o socavan el estilo de vida, el trabajo y el cerebro de las personas. Hoy exploramos lo que puede deparar ese futuro. También buscaremos opciones para que los civiles en el mundo moderno de hoy se adapten más rápidamente.

Longlisted for the Financial Times Business Book of the Year The "rich and gripping" true story of the first time machines came for human jobs—and how the Luddite uprising explains the power, threat, and toll of big tech and AI today (Naomi Klein) The most urgent story in modern tech begins...

In our highly competitive world of today, we need all the edge we can to get ahead of our competitors. For a long time, companies have focused on spending more on marketing and advertisement, ignoring the powerful asset they had at their disposal: data. Although this isn't the case anymore for large companies, smaller businesses are still in the dark about this, and you can use this asset to your advantage. This bundle will show you how.

Unlock the Power of Generative AI: Master Creativity, Deep Learning, and Advanced AI in One Essential Collection! Are you ready to revolutionize your creativity, career, and understanding of artificial intelligence? Whether you're an absolute beginner or looking to sharpen your AI expertise, this book collection takes you on a transformative journey through the world of Generative AI, Deep Learning, and Neural Networks. Discover How AI Can Save You Time, Enhance Creativity, and Propel Your Career Forward!

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.

Take a data-first and use-case-driven approach with Low-Code AI to understand machine learning and deep learning concepts. This hands-on guide presents three problem-focused ways to learn no-code ML using AutoML, low-code using BigQuery ML, and custom code using scikit-learn and Keras. In each case, you'll learn key ML concepts by using real-world datasets with realistic problems.

World Economic Forum Founder and Executive Chairman Klaus Schwab offers a practical companion and field guide to his previous book, The Fourth Industrial Revolution. Today, technology is changing everything--how we relate to one another, the way we work, how our economies and goverments function...

In this groundbreaking and practical guide, teachers will discover how to harness and manage AI as a powerful teaching tool. Jose Antonio Bowen and C. Edward Watson present emerging and powerful research on the seismic changes AI is already creating in schools and the workplace, providing invaluable insights into what AI can accomplish in the classroom and beyond.

In Part I, this book develops the Cognitive Amplifier Loop, which allows humans to use AI to build on their cognitive and emotional strengths and manage their limitations. Kosslyn discusses ways to employ this loop to offload tasks to AI and to utilize it to train us effectively and efficiently, as well as how to use it to both learn and engage in critical thinking and creative problem-solving—and manage cognitive and emotional constraints. Part II establishes how to draw on the Cognitive Amplifier Loop to help us improve our human relationships.

This study guide follows the syllabus for the Microsoft AI Foundations exam (AI-900). More importantly, this audiobook will help you gain the foundational knowledge needed to become an AI practitioner. You do not need a mathematical or programming background to understand the concepts in this audiobook or to pass the AI-900 exam. This study guide does not contain any material that compromises the integrity of any Microsoft exam. All materials, including practice questions, were developed using the syllabus for the exam and thorough research of published articles.

In contrast to the wave of noisy polemics around AI, AI For Good explores how, in practice, it can actually improve our lives and tells the stories of everyday citizens at the forefront of this new “AI entrepreneurship.” AI is often framed as a force of radical transformation, either...

From a leading futurist and OneShared.World founder, a "brilliant" book that explores how artificial intelligence and other revolutionary technologies are transforming our lives–and our future (Sanjay Gupta). New technologies have the potential to improve our health, feed billions of people...