Artificial Intelligence Machine Learning

As heard on NPR's "Science Friday," discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an "accessible, informative, and hilarious" introduction to the weird and wonderful world of artificial intelligence (Ryan North). "You look like a thing and I love...

NEW YORK TIMES BESTSELLER Celebrated futurist Ray Kurzweil, hailed by Bill Gates as “the best person I know at predicting the future of artificial intelligence,” presents an “elaborate, smart, and persuasive” (The Boston Globe) view of the future course of human development...

According to Forbes, 400 million workers could be displaced globally because of AI. But there is good news. In my book, Tomorrow’s Artificial Intelligence, I will demystify AI’s impact on jobs and empower you to navigate the changing landscape with confidence.

Artificial intelligence (AI) and performance expert Josh Cavalier shares his in-depth knowledge and skills to help L&D professionals master learning experience design by using generative AI in their employee learning and development efforts. More than just a technical manual on generative AI or a collection of best prompt practices, this book explores how AI is reshaping jobs, skill development, and human performance. Cavalier provides his Learning and Development AI Ecosystem framework as a practical road map for integrating AI into your day-to-day work and your organization.

The definitive exploration of one of the most daring and consequential theories of our time, completely revised and updated to reflect the rapid advances in artificial intelligence and virtual reality Are we living in a simulation? MIT computer scientist Rizwan Virk draws from research and...

Are you fascinated by apps like Microsoft’s ChatGPT and Google’s Gemini but unsure how you can utilize them to their full potential? Have you wondered how ChatGPT could help your writing, editing, and even gaming? Understanding and integrating Generative AI into your daily life may seem daunting, but it's not as difficult as you might think. In fact, with the right guide, anyone can harness the power of AI.

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.

If you are a technical recruiter who wants to keep your skills up to date in the growing area of artificial intelligence (AI) and machine learning (ML), this is the essential resource for you. In this book, you will learn the fundamentals of AI/ML, from the basics to more advanced. You will also find simple screening questions and conversations that can be used for matching your candidate's resumes to AI/ML job descriptions.

In your everyday life artificial intelligence is all around you. Every time you buy a product on Amazon, follow a new profile on Instagram, listen to a song on Spotify or reserve a room on Booking, they are learning something out of your behavior. And these are just the most visible aspects of how machine learning is having an impact on our lives. Everyone knows how important machine learning is for the growth and success of the biggest tech companies, and many people know about the machine learning impact in science, medicine and statistics.

Generative AI for Beginners Simplified is your ultimate gateway into the exciting world of artificial intelligence and machine learning. This comprehensive guide is specially designed for beginners, breaking down complex concepts into easy-to-understand lessons, practical exercises, and real-world projects. Whether you’re completely new to AI or looking to refresh your skills, this book provides you with a step-by-step roadmap to mastering generative AI and unlocking your creative potential.

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.

Technology has grown greatly in the recent past from self-driving cars to automated warehouses to websites being able to suggest what videos we should watch next based on our preferences to showing us ads that relate to things we are interested in and the world we are living in these days. It is, perhaps, like a sci-fi scene from movies of some decades ago.

Decision intelligence (DI) has been widely named as a top technology trend for several years, and Gartner reports that more than a third of large organizations are adopting it. Some even say that DI is the next step in the evolution of AI. Many software vendors offer DI solutions today, as they help organizations implement their evidence-based or data-driven decision strategies. But until now, there has been little practical guidance for organizations to formalize decision making and integrate their decisions with data. With this book, authors L. Y. Pratt and N. E. Malcolm fill this gap.

Many people have unanswered questions about artificial intelligence. Today, the majority of those questions will likely be answered. Concerns will be addressed, and examples will be given. This book starts off with a question and answer section about artificial intelligence. It then proceeds to cover specific artificially intelligent applications, such as chatbots and robotics. These pages will show details of things that puzzle many people’s minds. But you won’t be left in the dark and will enjoy the full benefits of this knowledge. Start listening now!

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.

Harness the power of machine learning to revolutionize your business, even if you're new to programming or tech concepts. Do you dream of integrating machine learning into your business model but find the subject overwhelming? Are you unsure how these cutting-edge technologies can be applied to your entrepreneurial ventures? Do you struggle to stay updated with rapid advancements in machine learning, fearing that you may fall behind?

In Artificial You, Susan Schneider says that it is inevitable that AI will take intelligence in new directions but urges that it is up to us to carve out a sensible path forward. As AI technology turns inward, reshaping the brain, as well as outward, potentially creating machine minds, it is crucial to beware. Homo sapiens, as mind designers, will be playing with "tools" they do not understand how to use: the self, the mind, and consciousness.

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.

The rise of artificial technology has seen a total change in the way we live our lives, interact, and function in the world. It has infiltrated our reality at every given turn and there appears to be no turning back now. Data science, advanced algorithms, and pattern recognition are now becoming so advanced, but what are the consequences for this progress and has anybody stopped to think about the potential consequences to our innate humanness and spirit?

Unravel the secrets of the AI revolution in just 7 days, even if you've never written a line of code! Do terms like "Machine Learning" or "Neural Networks" confuse you? Eager to understand AI but unsure where to start? You're not alone. Many believe mastering AI is only for tech experts. But here's the truth: Anyone can learn AI, and this guide shows you how!