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The AI Product Playbook: Strategies, Skills, and Frameworks for the AI-Driven Product Manager, by Dr. Marily Nika and Diego Granados, is a practical resource designed to empower product managers to effectively build, launch, and manage successful AI-powered products. This playbook bridges the gap between artificial intelligence theory and real-world product management, offering actionable learnings tailored to non-technical professionals. 

Large Language Models (LLMs) are revolutionizing the way we interact with technology—powering chatbots, automating content creation, summarizing information, writing code, and even generating art. Large Language Models (LLMs) is your definitive guide to understanding these groundbreaking AI systems and how they’re reshaping industries, workflows, and everyday life.

The most human-friendly book on machine learning Somewhere buried in all the systems that drive artificial intelligence, you'll find machine learning―the process that allows technology to build knowledge based on data and patterns. Machine Learning For Dummies is an excellent starting point...

Machine Learning for Absolute Beginners Third Edition has been written and designed for absolute beginners. This means plain-English explanations and no coding experience required.

In Untangling AI, founder and Chief AI Officer at Multiplai Tech, Matt Kesby, delivers an incisive roadmap for business leaders interested in assessing where their companies stand in the AI adoption lifecycle and where they want to go. Kesby explains how to rethink your current operational model...

NATIONAL BESTSELLER Bold futurist Ray Kurzweil, author of The Singularity Is Near, offers a framework for envisioning the future of machine intelligence—“a book for anyone who wonders where human technology is going next” (The New York Times Book Review). “Kurzweil offers a...

What is economic growth? And why, historically, has it occurred in only a few places? Previous efforts to answer these questions have focused on institutions, geography, finances, and psychology. But according to MIT's anti-disciplinarian César Hidalgo, understanding the nature of economic growth demands transcending the social sciences and including the natural sciences of information, networks, and complexity. To understand the growth of economies, Hidalgo argues, we first need to understand the growth of order.

In the 1940s, mathematicians set out to design computers that could act as ideal rational agents in the face of uncertainty. The Irrational Decision tells the story of how they settled on a peculiar mathematical definition of rationality in which every decision is a statistical question of risk. Benjamin Recht traces how this quantitative standard came to define our understanding of rationality, looking at the history of optimization, game theory, statistical testing, and machine learning.

A long life in a healthy, vigorous, youthful body has always been one of humanity's greatest dreams. Recent progress in genetic manipulations and calorie-restricted diets in laboratory animals hold forth the promise that someday science will enable us to exert total control over our own biological aging.

In this book, you'll learn how: data science, driven by artificial intelligence and machine learning, is yielding unprecedented business insights; blockchain has the potential to restructure the economy; drones and driverless vehicles are becoming essential tools; 3-D printing is making new business models possible; augmented reality is transforming retail and manufacturing; smart speakers are redefining the rules of marketing; and humans and machines are working together to reach new levels of productivity. 

An inside view of the AI revolution, from the people and companies making it happen. How did we build large language models? How do they think, if they think? What will the world look like if we have billions of AIs that are as smart as humans, or even smarter?

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. Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we...

AI is nothing to be afraid of. After all, AI is merely software. It's great at some things and (at least right now) terrible at others. But for workers who take time to experiment with AI and develop expertise, AI will make them more productive and more creative, saving them time, giving them...

Roboter haben doch keine Gefühle, oder? - Die weltweit renommierte Robotik-Expertin und Bestseller-Autorin Kenza Ait Si Abbou über die wachsende Bedeutung und den Einfluss von Künstlicher Intelligenz bei der Erkennung und Nutzung menschlicher Emotionen - ein ebenso aktuelles wie brisantes Sachbuch. Die Entwicklung Emotionaler Künstliche Intelligenz wird mit Milliarden gefördert: Maschinen sollen lernen, unsere Gefühle zu verstehen.

Not since the atomic bomb has a technology so alarmed its inventors that they warned the world about its use. Not, that is, until the spring of 2015, when biologist Jennifer Doudna called for a worldwide moratorium on the use of the new gene-editing tool CRISPR - a revolutionary new technology that she helped create - to make heritable changes in human embryos.

Gone are the days of static organizational charts and staffing based on the manager's rolodex and intuition. Now you can recruit any expertise you need from a global online network within minutes: an on-demand, on-the-spot expert at the exact moment that you need their help. You can right-size their involvement, too; some of those experts give a second opinion or a moment of brainstorming, whereas others join as full-fledged team members for a sustained collaborative effort.

Artificial intelligence is surrounded by noise—doomsday warnings, breathless hype, and promises of salvation. This book cuts through all of it. In What You Need to Know About AI, James Wang delivers a clear, structured, and intellectually grounded guide to one of the most transformative technologies of our time. Avoiding technical jargon and exaggerated claims, he explains how today's AI systems actually work, where they are most impactful, and what challenges remain.

In The Patient Will See You Now, Eric Topol, one of the nation's top physicians, examines what he calls medicine's "Gutenberg moment". Much as the printing press liberated knowledge from the control of an elite class, new technology is poised to democratize medicine. In this new era, patients will control their data and be emancipated from a paternalistic medical regime in which "the doctor knows best."

In this audiobook, machine learning expert Ethem Alpaydin offers a concise overview of the subject for the general listener, describing its evolution, explaining important learning algorithms, and presenting example applications. Alpaydin offers an account of how digital technology advanced from number-crunching mainframes to mobile devices, putting today's machine learning boom in context.

In 24 thought-provoking lectures designed for nonscientists, this course explores today's exciting field of genomics, the study of the vast storehouse of information contained within chromosomes. Your professor is Princeton University biologist Lee M. Silver, an acclaimed teacher, scientist, and author of popular books on biotechnology, genetics, and their impact on society.