UPDATED EDITION: Closing the Gap is an accessible overview of the fourth industrial revolution (4IR) and the impact it is set to have on various sectors in South Africa and Africa. It explores the previous industrial revolutions that have led up to this point and outlines what South Africa's position has been through each one. With a focus on artificial intelligence as a core concept in understanding the 4IR, this book uses familiar concepts to explain artificial intelligence, how it works and how it can be used in banking, mining, medicine and many other fields. Written from an African perspective, Closing the Gap addresses the challenges and fears around the 4IR by pointing to the opportunities presented by new technologies and outlining some of the challenges and successes to date.

An inside account of Apple's creative process during the golden years of Steve Jobs. 'If you've ever wondered what it's like to work in a hotbed of innovation, you'll enjoy this inside view of life at Apple. Ken Kocienda pioneered the iPhone keyboard, and this book gives a play-by-play of their creative process - from generating ideas to doing a demo for Steve Jobs.' Adam Grant, bestselling author of Originals. Hundreds of millions of people use Apple products every day; several thousand work on Apple's campus in Cupertino, California; but only a handful sit at the drawing board. Creative Selection recounts the life of one of the few who worked behind the scenes, a highly-respected software engineer who worked in the final years of the Steve Jobs era, the Golden Age of Apple. Ken Kocienda offers an inside look at Apple's creative process. For fifteen years, he was on the ground floor of the company as a specialist, directly responsible for experimenting with novel user interface concepts and writing powerful, easy-to-use software for products including the iPhone, the iPad and the Safari web browser. His stories explain the symbiotic relationship between software and product development for those who have never dreamed of programming a computer, and reveal what it was like to work on the cutting edge of technology at one of the world's most admired companies. Kocienda shares moments of struggle and success, crisis and collaboration, illuminating each with lessons learned over his Apple career. He introduces the essential elements of innovation, inspiration, collaboration, craft, diligence, decisiveness, taste, and empathy, and uses these as a lens through which to understand productive work culture. An insider's tale of creativity and innovation at Apple, Creative Selection shows readers how a small group of people developed an evolutionary design model, and how they used this methodology to make groundbreaking and intuitive software which countless millions use every day.

The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications. Technical and mathematical material is augmented with explanatory worked examples, and case studies illustrate the application of these models in the broader business context. This second edition covers recent developments in machine learning, especially in a new chapter on deep learning, and two new chapters that go beyond predictive analytics to cover unsupervised learning and reinforcement learning. The book is accessible, offering nontechnical explanations of the ideas underpinning each approach before introducing mathematical models and algorithms. It is focused and deep, providing students with detailed knowledge on core concepts, giving them a solid basis for exploring the field on their own. Both early chapters and later case studies illustrate how the process of learning predictive models fits into the broader business context. The two case studies describe specific data analytics projects through each phase of development, from formulating the business problem to implementation of the analytics solution. The book can be used as a textbook at the introductory level or as a reference for professionals.

Since 2005, YouTube has exploded, giving a platform to unique and valuable voices, but also to propaganda, misinformation and illicit videos. The algorithm which determines whether a channel lives or dies - how or when videos are seen, and how much creators earn through advertising - is notoriously secretive, remaining a mystery to consumers and broadcasters alike. At the same time, the site is massively profitable for parent company Google, helping turn it into one of the most influential powers on the planet. In Like, Comment, Subscribe, Bloomberg tech journalist Mark Bergen delivers the definitive account on YouTube, detailing how it started, how it works and ultimately how it drives Google's success. It can be seen as the story of a technical marvel that has upended traditional media and created stars out of everyday people, or the story of the rise of a ruthless advertising conglomerate with little regard for its impact on the world beyond the bottom line - but in reality, it's the story of both.

Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you. Because, believe it or not, you are the only one that can fix it. - Mo Gawdat. Artificial intelligence is smarter than humans. It can process information at lightning speed and remain focused on specific tasks without distraction. AI can see into the future, predicting outcomes and even use sensors to see around physical and virtual corners. So why does AI frequently get it so wrong? The answer is us. Humans design the algorithms that define the way that AI works, and the processed information reflects an imperfect world. Does that mean we are doomed? In Scary Smart, Mo Gawdat, the internationally bestselling author of Solve for Happy, draws on his considerable expertise to answer this question and to show what we can all do now to teach ourselves and our machines how to live better. With more than thirty years' experience working at the cutting-edge of technology and his former role as chief business officer of Google [X], no one is better placed than Mo Gawdat to explain how the Artificial Intelligence of the future works. By 2049 AI will be a billion times more intelligent than humans. Scary Smart explains how to fix the current trajectory now, to make sure that the AI of the future can preserve our species. This book offers a blueprint, pointing the way to what we can do to safeguard ourselves, those we love and the planet itself.