Unsupervised


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Unsupervised Learning


Unsupervised Learning

Author: Geoffrey Hinton

language: en

Publisher: MIT Press

Release Date: 1999-05-24


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Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Unsupervised Learning Algorithms


Unsupervised Learning Algorithms

Author: M. Emre Celebi

language: en

Publisher: Springer

Release Date: 2016-04-29


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This book summarizes the state-of-the-art in unsupervised learning. The contributors discuss how with the proliferation of massive amounts of unlabeled data, unsupervised learning algorithms, which can automatically discover interesting and useful patterns in such data, have gained popularity among researchers and practitioners. The authors outline how these algorithms have found numerous applications including pattern recognition, market basket analysis, web mining, social network analysis, information retrieval, recommender systems, market research, intrusion detection, and fraud detection. They present how the difficulty of developing theoretically sound approaches that are amenable to objective evaluation have resulted in the proposal of numerous unsupervised learning algorithms over the past half-century. The intended audience includes researchers and practitioners who are increasingly using unsupervised learning algorithms to analyze their data. Topics of interest include anomaly detection, clustering, feature extraction, and applications of unsupervised learning. Each chapter is contributed by a leading expert in the field.

Unsupervised


Unsupervised

Author: Daniel Doll-Steinberg

language: en

Publisher: John Wiley & Sons

Release Date: 2023-07-25


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How a broad range of new immensely powerful technologies is disrupting and transforming every corner of our reality—and why you must act and adapt Unsupervised: Navigating and Influencing a World Controlled by Powerful New Technologies examines the fast-emerging technologies and tools that are already starting to completely revolutionize our world. Beyond that, the book takes an in-depth look at how we have arrived at this dizzying point in our history, who holds the reins of these formidable technologies, mostly without any supervision. It explains why we as business leaders, entrepreneurs, academics, educators, lawmakers, investors or users and all responsible citizens must act now to influence and help oversee the future of a technological world. Quantum computing, artificial intelligence, blockchain, decentralization, virtual and augmented reality, and permanent connectivity are just a few of the technologies and trends considered, but the book delves much deeper, too. You'll find a thorough analysis of energy and medical technologies, as well as cogent predictions for how new tech will redefine your work, your money, your entertainment, your transportation and your home and cities, and what you need to know to harness and prosper from these technologies. Authors Daniel Doll-Steinberg and Stuart Leaf draw on their decades of building and implementing disruptive technologies, investing and deploying funds, and advising business leaders, governments and supranational bodies on change management, the future of work, innovation and disruption, education and the economy to consider how every area of our lives, society, economy and government will likely witness incredible changes in the coming decade. When we look just a bit further into the future, we can see that the task facing us is to completely reinvent life as we know it—work, resources, war, and even humanity itself will undergo redefinition, thanks to these new and emerging tools. In Unsupervised, you'll consider what these redefinitions might look like, and how we as individuals, and part of society, can prevent powerful new technologies from falling into the wrong hands or be built to harm us. Get a primer on the foundational technologies that are reshaping business, pleasure, and life as we know it Learn about the lesser known, yet astonishing, technologies set to revolutionize medicine, agriculture, and beyond Consider the potential impact of new tech across business sectors—and what it means for you Gain the knowledge and inspiration you need to harness your own power and push the future in the direction of good for all of us not just the few Explore the best ways to invest in the changes these technologies of the future will bring about This is a remarkably thorough and comprehensive look at the future of technology and everything it touches. Shining a light on many unsupervised technologies and their unsupervised oligarchy of masters.