ColdFusion Presents

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.

Penguin Audio presents Life 3.0 by Max Tegmark, read by Rob Shapiro. We stand at the beginning of a new era. What was once science fiction is fast becoming reality, as AI transforms war, crime, justice, jobs and society - and even our very sense of what it means to be human. More than any other technology, AI has the potential to revolutionise our collective future - and there's nobody better situated to explore that future than Max Tegmark, an MIT professor and cofounder of the Future of Life Institute, whose work has helped mainstream research on how to keep AI beneficial.

We all have a tendency to work around problems. We are resourceful. We improvise. We’re so accustomed to managing emergencies as they strike that we often don’t stop to think about how we could prevent crises before they happen. Why 'solve' crimes when we could stop them being committed? Why treat chronic diseases when they could be prevented from developing? Why provide shelter for the homeless rather than working to keep people housed in the first place? Why do our efforts skew so heavily towards reaction rather than prevention? 

AI is everywhere. It powers the autocorrect function of your iPhone, helps Google Translate understand the complexity of language, and interprets your behavior to decide which of your friends' Facebook posts you most want to see. Janelle Shane, a scientist and engineer, is also the go-to contributor about computer science for the New York Times, Slate, and The New Yorker. Through her hilarious experiments and real-world examples, she explains how AI understands our world, and what it gets wrong.  

In industry after industry, data, analytics, and AI-driven processes are transforming the nature of work. While we often still treat AI as the domain of a specific skill, business function, or sector, we have entered a new era in which AI is challenging the very concept of the firm. AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.  

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. 

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.

In his provocative new book, Dr. Kai-Fu Lee - one of the world’s most respected experts on artificial intelligence - reveals that China has suddenly caught up to the US, the leader in AI, at an astonishingly rapid pace. Building upon his longstanding US-Sino technology career (working at Apple, Microsoft, and Google) and his much-heralded New York Times Op-Ed from June 2017, Dr. Lee predicts that Chinese and American AI will have a stunning impact on not just traditional blue-collar industries but will also have a devastating effect on white-collar professions.

Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success.  

Data Science for Dummies is the perfect starting point for IT professionals and students who want a quick primer on all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, listening to this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. 

This new edition - more than 50 percent new and revised - is a significant update from the previous one and reveals how to harness the newest data mining methods and techniques to solve common business problems. The duo of unparalleled authors share invaluable advice for improving response rates to direct marketing campaigns, identifying new customer segments, and estimating credit risk. In addition, they cover more advanced topics, such as preparing data for analysis and creating the necessary infrastructure for data mining at your company.

All our lives are constrained by limited space and time, limits that give rise to a particular set of problems. What should we do, or leave undone, in a day or a lifetime? How much messiness should we accept? What balance of new activities and familiar favorites is the most fulfilling? These may seem like uniquely human quandaries, but they are not: computers, too, face the same constraints, so computer scientists have been grappling with their version of such problems for decades.

India's favourite financial planner, Monika Halan, offers you a feet-on-the-ground system to build financial security. Not a get-rich-quick guide, this book helps you build a smart system to live your dream life, rather than stay worried about the right investment or perfect insurance. Unlike many personal finance books, Let's Talk Money is written specifically for you, keeping the Indian context in mind. 

South African-born Elon Musk is the renowned entrepreneur and innovator behind PayPal, SpaceX, Tesla, and SolarCity. Musk wants to save our planet; he wants to send citizens into space, to form a colony on Mars; he wants to make money while doing these things; and he wants us all to know about it. He is the real-life inspiration for the Iron Man series of films starring Robert Downey, Jr. The personal tale of Musk's life comes with all the trappings one associates with a great, drama-filled story.

Thomas Piketty’s best-selling Capital in the Twenty-First Century galvanized global debate about inequality. In this audacious follow-up, Piketty challenges us to revolutionize how we think about politics, ideology, and history. He exposes the ideas that have sustained inequality for the past millennium, reveals why the shallow politics of right and left are failing us today, and outlines the structure of a fairer economic system.