Medicine has become inhuman, to disastrous effect. The doctor-patient relationship - the heart of medicine - is broken: doctors are too distracted and overwhelmed to truly connect with their patients, and medical errors and misdiagnoses abound. In Deep Medicine, leading physician Eric Topol reveals how artificial intelligence can help. AI has the potential to transform everything doctors do, from notetaking and medical scans to diagnosis and treatment, greatly cutting down the cost of medicine and reducing human mortality.

We are approaching a critical threshold in the history of our species. Everything is about to change. Soon you will live surrounded by AIs. They will organize your life, operate your business, and run core government services. You will live in a world of DNA printers and quantum computers, engineered pathogens and autonomous weapons, robot assistants and abundant energy.

We live in a world that’s obsessed with talent. We celebrate gifted students in school, natural athletes in sports, and child prodigies in music. But admiring people who start out with innate advantages leads us to overlook the distance we ourselves can travel. We underestimate the range of skills that we can learn and how good we can become. We can all improve at improving. And when opportunity doesn’t knock, there are ways to build a door.

In AI Superpowers, Kai-fu Lee argues powerfully that because of these unprecedented developments in AI, dramatic changes will be happening much sooner than many of us expected. Indeed, as the US-Sino AI competition begins to heat up, Lee urges the US and China to both accept and to embrace the great responsibilities that come with significant technological power.

If you want to learn about artificial intelligence, then pay attention.... So, what is the deal with intelligent machines? Will they soon decide on things such as copyright infringement? How about self-driving trucks and cars? What kind of impact will smart machines have on society and the future of human jobs? This book will give you a glimpse into the most fascinating topic of the 21st century - artificial intelligence (AI), a hypothetical simulation of a living brain inside a computer.

In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it.

Learning data analytics will open up new opportunities for you. Data analytics will be the most in-demand skill by 2030. Right now, the higher the data literacy the employee has the higher the salary he can get, for example in the US employees with solid data analytics knowledge can increase their annual salary by $11,000. (source: QLIK Technologies, Inc.)

Artificial intelligence does the seemingly impossible - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

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.

Machine learning is changing the world. You use machine learning every day and probably don’t know it. In this audiobook, you will learn how ML grew from a desire to make computers able to learn.

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....

Imagine if there was a single, elegant solution to the biggest challenges facing healthcare: chronic disease, escalating costs, physician shortages, care access and affordability, physician burnout, loneliness, and mental health. In his second book, James Maskell shows how the community - specifically, group medical visits - can help us solve these challenges. A supportive community provides the context for ongoing healthy behaviors, a key to reversing chronic illness.

Machine learning is a use of artificial intelligence (AI) that gives software the capacity to naturally learn and improve without being unequivocally modified. Machine learning centers around the improvement of computer programs that can get to data and use it to learn for themselves. The way toward learning starts with perceptions or data - for example, models, direct understanding, or guidance, so as to search for designs in data and settle on better choices later, depending on the models that we give.

The future is now. Artificial "machine" intelligence is playing an ever-greater role in our society. We are already using cruise control in our cars and automatic checkout at the drugstore and are unable to live without our smartphones. The discussion around AI is largely polarized; people think either machines will solve all problems for everyone or they will lead us down a dark, dystopian path into total human irrelevance. Regardless of what you believe, the idea that we might bring forth intelligent creation can be intrinsically frightening.

If you want to learn key AI concepts to get you quickly up to speed with all things AI, then pay attention...This audiobook covers everything from machine learning to robotics and the internet of things. By the time you finish listening, you will be aware of what artificial neural networks are, how gradient descent and back propagation work, and what deep learning is. You will also learn a comprehensive history of AI, from the first invention of automations in antiquity to the driver-less cars of today.