the master algorithm how the quest for the ultimate learning machine will remake our world

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The Master Algorithm

Author : Pedro Domingos
ISBN : 9780241004555
Genre : Science
File Size : 43. 29 MB
Format : PDF, Kindle
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A spell-binding quest for the one algorithm capable of deriving all knowledge from data, including a cure for cancer Society is changing, one learning algorithm at a time, from search engines to online dating, personalized medicine to predicting the stock market. But learning algorithms are not just about Big Data - these algorithms take raw data and make it useful by creating more algorithms. This is something new under the sun: a technology that builds itself. In The Master Algorithm, Pedro Domingos reveals how machine learning is remaking business, politics, science and war. And he takes us on an awe-inspiring quest to find 'The Master Algorithm' - a universal learner capable of deriving all knowledge from data.

The Master Algorithm

Author : Pedro Domingos
ISBN : 9780465061921
Genre : Computers
File Size : 59. 37 MB
Format : PDF
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Algorithms increasingly run our lives. They find books, movies, jobs, and dates for us, manage our investments, and discover new drugs. More and more, these algorithms work by learning from the trails of data we leave in our newly digital world. Like curious children, they observe us, imitate, and experiment. And in the world’s top research labs and universities, the race is on to invent the ultimate learning algorithm: one capable of discovering any knowledge from data, and doing anything we want, before we even ask. Machine learning is the automation of discovery—the scientific method on steroids—that enables intelligent robots and computers to program themselves. No field of science today is more important yet more shrouded in mystery. Pedro Domingos, one of the field’s leading lights, lifts the veil for the first time to give us a peek inside the learning machines that power Google, Amazon, and your smartphone. He charts a course through machine learning’s five major schools of thought, showing how they turn ideas from neuroscience, evolution, psychology, physics, and statistics into algorithms ready to serve you. Step by step, he assembles a blueprint for the future universal learner—the Master Algorithm—and discusses what it means for you, and for the future of business, science, and society. If data-ism is today’s rising philosophy, this book will be its bible. The quest for universal learning is one of the most significant, fascinating, and revolutionary intellectual developments of all time. A groundbreaking book, The Master Algorithm is the essential guide for anyone and everyone wanting to understand not just how the revolution will happen, but how to be at its forefront.

Superintelligence

Author : Nick Bostrom
ISBN : 9780199678112
Genre : Computers
File Size : 76. 10 MB
Format : PDF, ePub
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Human beings occupy a dominant position on our planet, not because we have stronger muscles or sharper teeth than other species, but because we have smarter brains. Our brains developed the technologies and the complex social organization that make us powerful. For example, our smartness gave us bulldozers and knives that are stronger and sharper than any animal's muscles or teeth.If machine brains come to surpass human brains as ours surpass those of other animals, the machine brains could become as powerful relative to us as we are to the other animals. Extreme levels of machine intelligence - superintelligence - would potentially be in a position to shape the future. What happens to humanity, whether humanity would even survive, would then depend on the goals of the superintelligence. The possibility of a machine intelligence revolution is therefore an extremely important topic. Perhaps it is the most important topic.Readership : Suitable for general readers as well as academics in the fields of Artificial Intelligence and Machine Learning, Computer Science, and Philosophy.

Machines Of Loving Grace

Author : John Markoff
ISBN : 9780062266705
Genre : History
File Size : 88. 44 MB
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As robots are increasingly integrated into modern society—on the battlefield and the road, in business, education, and health—Pulitzer-Prize-winning New York Times science writer John Markoff searches for an answer to one of the most important questions of our age: will these machines help us, or will they replace us? In the past decade alone, Google introduced us to driverless cars, Apple debuted a personal assistant that we keep in our pockets, and an Internet of Things connected the smaller tasks of everyday life to the farthest reaches of the internet. There is little doubt that robots are now an integral part of society, and cheap sensors and powerful computers will ensure that, in the coming years, these robots will soon act on their own. This new era offers the promise of immense computing power, but it also reframes a question first raised more than half a century ago, at the birth of the intelligent machine: Will we control these systems, or will they control us? In Machines of Loving Grace, New York Times reporter John Markoff, the first reporter to cover the World Wide Web, offers a sweeping history of the complicated and evolving relationship between humans and computers. Over the recent years, the pace of technological change has accelerated dramatically, reintroducing this difficult ethical quandary with newer and far weightier consequences. As Markoff chronicles the history of automation, from the birth of the artificial intelligence and intelligence augmentation communities in the 1950s, to the modern day brain trusts at Google and Apple in Silicon Valley, and on to the expanding tech corridor between Boston and New York, he traces the different ways developers have addressed this fundamental problem and urges them to carefully consider the consequences of their work. We are on the verge of a technological revolution, Markoff argues, and robots will profoundly transform the way our lives are organized. Developers must now draw a bright line between what is human and what is machine, or risk upsetting the delicate balance between them.

Probably Approximately Correct

Author : Leslie Valiant
ISBN : 9780465032716
Genre : Science
File Size : 47. 57 MB
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Presenting a theory of the theoryless, a computer scientist provides a model of how effective behavior can be learned even in a world as complex as our own, shedding new light on human nature.

The Fall Of The Ottomans

Author : Eugene Rogan
ISBN : 9780141968704
Genre : History
File Size : 86. 59 MB
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The final destruction of the Ottoman Empire - one of the great epics of the First World War, from bestselling historian Eugene Rogan For some four centuries the Ottoman Empire had been one of the most powerful states in Europe as well as ruler of the Middle East. By 1914 it had been drastically weakened and circled by numerous predators waiting to finish it off. Following the Ottoman decision to join the First World War on the side of the Central Powers the British, French and Russians hatched a plan to finish the Ottomans off: an ambitious and unprecedented invasion of Gallipoli... Eugene Rogan's remarkable new book recreates one of the most important but poorly understood fronts of the First World War. Despite fighting back with great skill and ferocity against the Allied onslaught and humiliating the British both at Gallipoli and in Mesopotamia (Iraq), the Ottomans were ultimately defeated, clearing the way for the making, for better or worse, of a new Middle East which has endured to the present.

Python Machine Learning

Author : Sebastian Raschka
ISBN : 9781783555147
Genre : Computers
File Size : 47. 66 MB
Format : PDF
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Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

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