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  rebooting ai free download: AI and Machine Learning for Coders Laurence Moroney, 2020-10-01 If you're looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provides a hands-on, code-first approach to help you build confidence while you learn key topics. You'll understand how to implement the most common scenarios in machine learning, such as computer vision, natural language processing (NLP), and sequence modeling for web, mobile, cloud, and embedded runtimes. Most books on machine learning begin with a daunting amount of advanced math. This guide is built on practical lessons that let you work directly with the code. You'll learn: How to build models with TensorFlow using skills that employers desire The basics of machine learning by working with code samples How to implement computer vision, including feature detection in images How to use NLP to tokenize and sequence words and sentences Methods for embedding models in Android and iOS How to serve models over the web and in the cloud with TensorFlow Serving
  rebooting ai free download: Foundations of Data Science Avrim Blum, John Hopcroft, Ravindran Kannan, 2020-01-23 Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
  rebooting ai free download: AI for Game Developers David M. Bourg, Glenn Seemann, 2004 From the author of Physics for Game Developers, comes a new, non-threatening introduction to the complex subject of game programming.
  rebooting ai free download: Graph Representation Learning William L. Hamilton, 2022-06-01 Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical synthesis, 3D vision, recommender systems, question answering, and social network analysis. This book provides a synthesis and overview of graph representation learning. It begins with a discussion of the goals of graph representation learning as well as key methodological foundations in graph theory and network analysis. Following this, the book introduces and reviews methods for learning node embeddings, including random-walk-based methods and applications to knowledge graphs. It then provides a technical synthesis and introduction to the highly successful graph neural network (GNN) formalism, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent advancements in deep generative models for graphs—a nascent but quickly growing subset of graph representation learning.
  rebooting ai free download: Artificial Intelligence with Python Prateek Joshi, 2017-01-27 Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.
  rebooting ai free download: Artificial Intelligence and Games Georgios N. Yannakakis, Julian Togelius, 2025-07-04 This book covers artificial intelligence methods applied to games, both in research and game development. It is aimed at graduate students, researchers, game developers, and readers with a technical background interested in the intersection of AI and games. The book covers a range of AI methods, from traditional search, planning, and optimization, to modern machine learning methods, including diffusion models and large language models. It discusses applications to playing games, generating content, and modeling players, including use cases such as level generation, game testing, intelligent non-player characters, player retention, player experience analysis, and game adaptation. It also covers the use of games, including video games, to test and benchmark AI algorithms. The book is informed by decades of research and practice in the field and combines insights into game design with deep technical knowledge from the authors, who have pioneered many of the methods and approaches used in the field. This second edition of the 2018 textbook captures significant developments in AI and gaming over the past 7 years, incorporating advancements in computer vision, reinforcement learning, deep learning, and the emergence of transformer-based large language models and generative AI. The book has been reorganized to provide an updated overview of AI in games, with separate sections dedicated to AI’s core uses in playing and generating games, and modeling their players, along with a new chapter on ethical considerations. Aimed at readers with foundational AI knowledge, the book primarily targets three audiences: graduate or advanced undergraduate students pursuing careers in game AI, AI researchers and educators seeking teaching resources, and game programmers interested in creative AI applications. The text is complemented by a website featuring exercises, lecture slides, and additional educational materials suitable for undergraduate and graduate courses.
  rebooting ai free download: Artificial Unintelligence Meredith Broussard, 2018-04-27 A software developer’s misadventures in computer programming, machine learning, and artificial intelligence reveal why we should never assume technology always get it right. In Artificial Unintelligence, Meredith Broussard argues that our collective enthusiasm for applying computer technology to every aspect of life has resulted in a tremendous amount of poorly designed systems. We are so eager to do everything digitally—hiring, driving, paying bills, even choosing romantic partners—that we have stopped demanding that our technology actually work. Broussard, a software developer and journalist, reminds us that there are fundamental limits to what we can (and should) do with technology. With this book, she offers a guide to understanding the inner workings and outer limits of technology—and issues a warning that we should never assume that computers always get things right. Making a case against technochauvinism—the belief that technology is always the solution—Broussard argues that it’s just not true that social problems would inevitably retreat before a digitally enabled Utopia. To prove her point, she undertakes a series of adventures in computer programming. She goes for an alarming ride in a driverless car, concluding “the cyborg future is not coming any time soon”; uses artificial intelligence to investigate why students can’t pass standardized tests; deploys machine learning to predict which passengers survived the Titanic disaster; and attempts to repair the U.S. campaign finance system by building AI software. If we understand the limits of what we can do with technology, Broussard tells us, we can make better choices about what we should do with it to make the world better for everyone.
  rebooting ai free download: Bandit Algorithms Tor Lattimore, Csaba Szepesvári, 2020-07-16 A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
  rebooting ai free download: NANO-CHIPS 2030 Boris Murmann, Bernd Hoefflinger, 2020-06-08 In this book, a global team of experts from academia, research institutes and industry presents their vision on how new nano-chip architectures will enable the performance and energy efficiency needed for AI-driven advancements in autonomous mobility, healthcare, and man-machine cooperation. Recent reviews of the status quo, as presented in CHIPS 2020 (Springer), have prompted the need for an urgent reassessment of opportunities in nanoelectronic information technology. As such, this book explores the foundations of a new era in nanoelectronics that will drive progress in intelligent chip systems for energy-efficient information technology, on-chip deep learning for data analytics, and quantum computing. Given its scope, this book provides a timely compendium that hopes to inspire and shape the future of nanoelectronics in the decades to come.
  rebooting ai free download: Abolish Silicon Valley Wendy Liu, 2020-04-14 Former insider turned critic Wendy Liu busts the myths of the tech industry, and offers a galvanising argument for why and how we must reclaim technology's potential for the public good. Former insider turned critic Wendy Liu busts the myths of the tech industry, and offers a galvanising argument for why and how we must reclaim technology's potential for the public good. Lucid, probing and urgent. Wendy Liu manages to be both optimistic about the emancipatory potential of tech and scathing about the industry that has harnessed it for bleak and self-serving ends. -- Naomi Klein, author of On Fire: The Burning Case for a Green New Deal An inspiring memoir manifesto...Technologists all over the world are realizing that no amount of code can substitute for political engagement. Liu's memoir is a road map for that journey of realization. -- Cory Doctorow, author of Radicalized and Little Brother Innovation. Meritocracy. The possibility of overnight success. What's not to love about Silicon Valley? These days, it's hard to be unambiguously optimistic about the growth-at-all-costs ethos of the tech industry. Public opinion is souring in the wake of revelations about Cambridge Analytica, Theranos, and the workplace conditions of Amazon workers or Uber drivers. It's becoming clear that the tech industry's promised innovation is neither sustainable nor always desirable. Abolish Silicon Valley is both a heartfelt personal story about the wasteful inequality of Silicon Valley, and a rallying call to engage in the radical politics needed to upend the status quo. Going beyond the idiosyncrasies of the individual founders and companies that characterise the industry today, Wendy Liu delves into the structural factors of the economy that gave rise to Silicon Valley as we know it. Ultimately, she proposes a more radical way of developing technology, where innovation is conducted for the benefit of society at large, and not just to enrich a select few.
  rebooting ai free download: Introduction to Embedded Systems, Second Edition Edward Ashford Lee, Sanjit Arunkumar Seshia, 2016-12-30 An introduction to the engineering principles of embedded systems, with a focus on modeling, design, and analysis of cyber-physical systems. The most visible use of computers and software is processing information for human consumption. The vast majority of computers in use, however, are much less visible. They run the engine, brakes, seatbelts, airbag, and audio system in your car. They digitally encode your voice and construct a radio signal to send it from your cell phone to a base station. They command robots on a factory floor, power generation in a power plant, processes in a chemical plant, and traffic lights in a city. These less visible computers are called embedded systems, and the software they run is called embedded software. The principal challenges in designing and analyzing embedded systems stem from their interaction with physical processes. This book takes a cyber-physical approach to embedded systems, introducing the engineering concepts underlying embedded systems as a technology and as a subject of study. The focus is on modeling, design, and analysis of cyber-physical systems, which integrate computation, networking, and physical processes. The second edition offers two new chapters, several new exercises, and other improvements. The book can be used as a textbook at the advanced undergraduate or introductory graduate level and as a professional reference for practicing engineers and computer scientists. Readers should have some familiarity with machine structures, computer programming, basic discrete mathematics and algorithms, and signals and systems.
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  rebooting ai free download: Web, Artificial Intelligence and Network Applications Leonard Barolli, Makoto Takizawa, Fatos Xhafa, Tomoya Enokido, 2019-03-15 The aim of the book is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of Web Computing, Intelligent Systems and Internet Computing. As the Web has become a major source of information, techniques and methodologies that extract quality information are of paramount importance for many Web and Internet applications. Data mining and knowledge discovery play key roles in many of today’s prominent Web applications such as e-commerce and computer security. Moreover, the outcome of Web services delivers a new platform for enabling service-oriented systems. The emergence of large scale distributed computing paradigms, such as Cloud Computing and Mobile Computing Systems, has opened many opportunities for collaboration services, which are at the core of any Information System. Artificial Intelligence (AI) is an area of computer science that build intelligent systems and algorithms that work and react like humans. The AI techniques and computational intelligence are powerful tools for learning, adaptation, reasoning and planning. They have the potential to become enabling technologies for the future intelligent networks. Recent research in the field of intelligent systems, robotics, neuroscience, artificial intelligence and cognitive sciences are very important for the future development and innovation of Web and Internet applications.
  rebooting ai free download: Microsoft Azure Essentials - Fundamentals of Azure Michael Collier, Robin Shahan, 2015-01-29 Microsoft Azure Essentials from Microsoft Press is a series of free ebooks designed to help you advance your technical skills with Microsoft Azure. The first ebook in the series, Microsoft Azure Essentials: Fundamentals of Azure, introduces developers and IT professionals to the wide range of capabilities in Azure. The authors - both Microsoft MVPs in Azure - present both conceptual and how-to content for key areas, including: Azure Websites and Azure Cloud Services Azure Virtual Machines Azure Storage Azure Virtual Networks Databases Azure Active Directory Management tools Business scenarios Watch Microsoft Press’s blog and Twitter (@MicrosoftPress) to learn about other free ebooks in the “Microsoft Azure Essentials” series.
  rebooting ai free download: HTTP/2 in Action Barry Pollard, 2019-03-06 Summary HTTP/2 in Action is a complete guide to HTTP/2, one of the core protocols of the web. Because HTTP/2 has been designed to be easy to transition to, including keeping it backwards compatible, adoption is rapid and expected to increase over the next few years. Concentrating on practical matters, this interesting book presents key HTTP/2 concepts such as frames, streams, and multiplexing and explores how they affect the performance and behavior of your websites. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology HTTP—Hypertext Transfer Protocol—is the standard for exchanging messages between websites and browsers. And after 20 years, it's gotten a much-needed upgrade. With support for streams, server push, header compression, and prioritization, HTTP/2 delivers vast improvements in speed, security, and efficiency. About the Book HTTP/2 in Action teaches you everything you need to know to use HTTP/2 effectively. You'll learn how to optimize web performance with new features like frames, multiplexing, and push. You'll also explore real-world examples on advanced topics like flow control and dependencies. With ready-to-implement tips and best practices, this practical guide is sure to get you—and your websites—up to speed! What's Inside HTTP/2 for web developers Upgrading and troubleshooting Real-world examples and case studies QUIC and HTTP/3 About the Reader Written for web developers and site administrators. About the Authors Barry Pollard is a professional developer with two decades of experience developing, supporting, and tuning software and infrastructure. Table of Contents PART 1 MOVING TO HTTP/2 Web technologies and HTTP The road to HTTP/2 Upgrading to HTTP/2 PART 2 USING HTTP/2 HTTP/2 protocol basics Implementing HTTP/2 push Optimizing for HTTP/2 PART 3 ADVANCED HTTP/2 Advanced HTTP/2 concepts HPACK header compression PART 4 THE FUTURE OF HTTP TCP, QUIC, and HTTP/3 Where HTTP goes from here
  rebooting ai free download: Spark: The Definitive Guide Bill Chambers, Matei Zaharia, 2018-02-08 Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation
  rebooting ai free download: The Future We Choose Christiana Figueres, Tom Rivett-Carnac, 2020 In this cautionary but optimistic book, Figueres and Rivett-Carnac--the architects of the 2015 Paris Climate Change Agreement--tackle arguably the most urgent and consequential challenge humankind has ever faced: the world's changing climate and the fate of humanity. In The Future We Choose, the authors outline two possible scenarios for the planet. In one, they describe what life on Earth will be like by 2050 if we fail to meet the Paris targets for carbon dioxide emission reduction. In the other, they describe what it will take to create and live in a carbon neutral, regenerative world. They argue for confronting the climate crisis head on, with determination and optimism. How we all of us address the climate crisis in the next thirty years will determine not only the world we will live in but also the world we will bequeath to our children and theirs. The Future We Choose presents our options and tells us, in no uncertain terms, what governments, corporations, and each of us can and must do to fend off disaster.
  rebooting ai free download: Ctrl Alt Delete Mitch Joel, 2013-05-21 A game-changing book that outlines the ways in which technology has transformed how brands and businesses innovate and connect with consumers: An indispensable read for a time when so much is in transition (Arianna Huffington). The DNA of business has changed. Forever. You can blame technology, smartphones, social media, online shopping and everything else, but nothingchanges this reality: we are in a moment of business purgatory. So, what are you going to do about it? Mitch Joel, one of the world's leading experts in new media, warns that the time has come to CTRL ALT DELETE. To reboot and to start re-building your business model. If you don't, Joel warns, not only will your company begin to slide backwards, but you may find yourself unemployable within five years. That's a very strong warning, but in his new book, CTRL ALT DELETE, Joel explains the convergence of five key movements that have changed business forever. The movements have already taken place, but few businesses have acted on them. He outlines what you need to know to adapt right now. He also points to the seven triggers that will help you take advantage of these game-changing factors to keep you employable as this new world of business unfolds. Along the way, Joel introduces his novel concept of squiggle which explains how you can learn to adapt your personal approach to your career, as new technology becomes the norm. In short, this is not a book about change management but rather a book about changing both you AND your business model.
  rebooting ai free download: Automated Machine Learning Frank Hutter, Lars Kotthoff, Joaquin Vanschoren, 2019-05-17 This open access book presents the first comprehensive overview of general methods in Automated Machine Learning (AutoML), collects descriptions of existing systems based on these methods, and discusses the first series of international challenges of AutoML systems. The recent success of commercial ML applications and the rapid growth of the field has created a high demand for off-the-shelf ML methods that can be used easily and without expert knowledge. However, many of the recent machine learning successes crucially rely on human experts, who manually select appropriate ML architectures (deep learning architectures or more traditional ML workflows) and their hyperparameters. To overcome this problem, the field of AutoML targets a progressive automation of machine learning, based on principles from optimization and machine learning itself. This book serves as a point of entry into this quickly-developing field for researchers and advanced students alike, as well as providing a reference for practitioners aiming to use AutoML in their work.
  rebooting ai free download: Why Greatness Cannot Be Planned Kenneth O. Stanley, Joel Lehman, 2015-05-05 Why does modern life revolve around objectives? From how science is funded, to improving how children are educated -- and nearly everything in-between -- our society has become obsessed with a seductive illusion: that greatness results from doggedly measuring improvement in the relentless pursuit of an ambitious goal. In Why Greatness Cannot Be Planned, Stanley and Lehman begin with a surprising scientific discovery in artificial intelligence that leads ultimately to the conclusion that the objective obsession has gone too far. They make the case that great achievement can't be bottled up into mechanical metrics; that innovation is not driven by narrowly focused heroic effort; and that we would be wiser (and the outcomes better) if instead we whole-heartedly embraced serendipitous discovery and playful creativity. Controversial at its heart, yet refreshingly provocative, this book challenges readers to consider life without a destination and discovery without a compass.
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  rebooting ai free download: InfoWorld , 1998-03-09 InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
  rebooting ai free download: Programming from the Ground Up Jonathan Bartlett, 2009-09-24 Programming from the Ground Up uses Linux assembly language to teach new programmers the most important concepts in programming. It takes you a step at a time through these concepts: * How the processor views memory * How the processor operates * How programs interact with the operating system * How computers represent data internally * How to do low-level and high-level optimization Most beginning-level programming books attempt to shield the reader from how their computer really works. Programming from the Ground Up starts by teaching how the computer works under the hood, so that the programmer will have a sufficient background to be successful in all areas of programming. This book is being used by Princeton University in their COS 217 Introduction to Programming Systems course.
  rebooting ai free download: Futureproof Kevin Roose, 2021-03-04 A New York Times bestselling author and tech columnist's counter-intuitive guide to staying relevant - and employable - in the machine age by becoming irreplaceably human. It's not a future scenario any more. We've been taught that to compete with automation and AI, we'll have to become more like the machines themselves, building up technical skills like coding. But, there's simply no way to keep up. What if all the advice is wrong? And what do we need to do instead to become futureproof? We tend to think of automation as a blue-collar phenomenon that will affect truck drivers, factory workers, and other people with repetitive manual jobs. But it's much, much broader than that. Lawyers are being automated out of existence. Last year, JPMorgan Chase built a piece of software called COIN, which uses machine learning to review complicated contracts and documents. It used to take the firm's lawyers more than 300,000 hours every year to review all of those documents. Now, it takes a few seconds, and requires just one human to run the program. Doctors are being automated out of existence, too. Last summer, a Chinese tech company built a deep learning algorithm that diagnosed brain cancer and other diseases faster and more accurately than a team of 15 top Chinese doctors. Kevin Roose has spent the past few years studying the question of how people, communities, and organisations adapt to periods of change, from the Industrial Revolution to the present. And the insight that is sweeping through Silicon Valley as we speak -- that in an age dominated by machines, it's human skills that really matter - is one of the more profound and counter-intuitive ideas he's discovered. It's the antidote to the doom-and-gloom worries many people feel when they think about AI and automation. And it's something everyone needs to hear. In nine accessible, prescriptive chapters, Roose distills what he has learned about how we will survive the future, that the way to become futureproof is to become incredibly, irreplaceably human.
  rebooting ai free download: You Look Like a Thing and I Love You Janelle Shane, 2019-11-05 As heard on NPR's Science Friday, discover the book recommended by Malcolm Gladwell, Susan Cain, Daniel Pink, and Adam Grant: an accessible, informative, and hilarious introduction to the weird and wonderful world of artificial intelligence (Ryan North). You look like a thing and I love you is one of the best pickup lines ever . . . according to an artificial intelligence trained by scientist Janelle Shane, creator of the popular blog AI Weirdness. She creates silly AIs that learn how to name paint colors, create the best recipes, and even flirt (badly) with humans—all to understand the technology that governs so much of our daily lives. We rely on AI every day for recommendations, for translations, and to put cat ears on our selfie videos. We also trust AI with matters of life and death, on the road and in our hospitals. But how smart is AI really... and how does it solve problems, understand humans, and even drive self-driving cars? Shane delivers the answers to every AI question you've ever asked, and some you definitely haven't. Like, how can a computer design the perfect sandwich? What does robot-generated Harry Potter fan-fiction look like? And is the world's best Halloween costume really Vampire Hog Bride? In this smart, often hilarious introduction to the most interesting science of our time, Shane shows how these programs learn, fail, and adapt—and how they reflect the best and worst of humanity. You Look Like a Thing and I Love You is the perfect book for anyone curious about what the robots in our lives are thinking. I can't think of a better way to learn about artificial intelligence, and I've never had so much fun along the way. —Adam Grant, New York Times bestselling author of Originals
  rebooting ai free download: Algorithms for Reinforcement Learning Csaba Szepesvári, 2022-05-31 Reinforcement learning is a learning paradigm concerned with learning to control a system so as to maximize a numerical performance measure that expresses a long-term objective. What distinguishes reinforcement learning from supervised learning is that only partial feedback is given to the learner about the learner's predictions. Further, the predictions may have long term effects through influencing the future state of the controlled system. Thus, time plays a special role. The goal in reinforcement learning is to develop efficient learning algorithms, as well as to understand the algorithms' merits and limitations. Reinforcement learning is of great interest because of the large number of practical applications that it can be used to address, ranging from problems in artificial intelligence to operations research or control engineering. In this book, we focus on those algorithms of reinforcement learning that build on the powerful theory of dynamic programming. We give a fairly comprehensive catalog of learning problems, describe the core ideas, note a large number of state of the art algorithms, followed by the discussion of their theoretical properties and limitations. Table of Contents: Markov Decision Processes / Value Prediction Problems / Control / For Further Exploration
  rebooting ai free download: Gaussian Processes for Machine Learning Carl Edward Rasmussen, Christopher K. I. Williams, 2005-11-23 A comprehensive and self-contained introduction to Gaussian processes, which provide a principled, practical, probabilistic approach to learning in kernel machines. Gaussian processes (GPs) provide a principled, practical, probabilistic approach to learning in kernel machines. GPs have received increased attention in the machine-learning community over the past decade, and this book provides a long-needed systematic and unified treatment of theoretical and practical aspects of GPs in machine learning. The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics. The book deals with the supervised-learning problem for both regression and classification, and includes detailed algorithms. A wide variety of covariance (kernel) functions are presented and their properties discussed. Model selection is discussed both from a Bayesian and a classical perspective. Many connections to other well-known techniques from machine learning and statistics are discussed, including support-vector machines, neural networks, splines, regularization networks, relevance vector machines and others. Theoretical issues including learning curves and the PAC-Bayesian framework are treated, and several approximation methods for learning with large datasets are discussed. The book contains illustrative examples and exercises, and code and datasets are available on the Web. Appendixes provide mathematical background and a discussion of Gaussian Markov processes.
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  rebooting ai free download: Algorithms for Optimization Mykel J. Kochenderfer, Tim A. Wheeler, 2019-03-12 A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.
  rebooting ai free download: Data-Intensive Text Processing with MapReduce Jimmy Lin, Chris Dyer, 2022-05-31 Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader think in MapReduce, but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks
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  rebooting ai free download: Nordic and European Modernisms Jakob Lothe, 2021-08-31 This book explores the growth and development of Nordic modernisms in a European context. Concentrating on and yet not limiting itself to the study of literary texts, the book shows that the emergence of modernism in the Nordic countries is linked to, and inspired by, the innovative works published in Western Europe and the USA towards the end of the nineteenth century and in the first decades of the twentieth century. Presenting Nordic art as multi-dimensional and dynamic, it also shows that, while responding to aspects of these innovative works, Nordic modernism itself contributed to modernism as a complex international trend. The plural form “modernisms” in the book’s title indicates that the contributors adopt an understanding of modernism that, while recognizing the importance of the modernist movement between circa 1890 and 1940, is sufficiently elastic to include various forms of extension and continuation of Nordic modernisms in the post-war period. The book shows that the experience of crisis—cultural, political, moral, aesthetic—that underlies modernist artists’ invention of radically new forms of expression was by no means limited to just one country or one identifiable group of writers; nor was it, as modernisms’ global relevance makes clear, restricted to just one continent. At the level of historical reality, the First World War represents the culmination of a crisis which had its beginnings several decades earlier. The Second World War, along with the Holocaust, represents a second culmination of the crisis, and there is, this book suggests, a sense in which the experience of crisis has continued to influence and shape Nordic literature written in the post-war period. Over the first two decades of the twenty-first century, the experience of crisis has increasingly been extended to include a growing uncertainty about the future prompted by the reality of climate change.
  rebooting ai free download: Handbook of Knowledge Representation Bruce Porter, 2008-01 Knowledge representation, which lies at the core of artificial intelligence, is concerned with encoding knowledge on computers to enable systems to reason automatically. The aims are to help readers make their computer smarter, handle qualitative and uncertain information, and improve computational tractability.
  rebooting ai free download: Rebooting AI Gary Marcus, Ernest Davis, 2019-09-10 Two leaders in the field offer a compelling analysis of the current state of the art and reveal the steps we must take to achieve a robust artificial intelligence that can make our lives better. “Finally, a book that tells us what AI is, what AI is not, and what AI could become if only we are ambitious and creative enough.” —Garry Kasparov, former world chess champion and author of Deep Thinking Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence. The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won't need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors' offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.
How to Properly Reboot (Restart) a Windows Computer - Lifewire
Mar 19, 2024 · To safely restart a Windows computer, open the Start menu and choose the Restart option. Below are detailed directions if you need them. These instructions can be followed on …

Restart (reboot) your PC - Microsoft Support
Select the Start button, then Power > Restart.

How to Reboot Windows 11: A Step-by-Step Guide to Restarting …
Aug 21, 2024 · Rebooting Windows 11 is a straightforward process that can be accomplished in a few simple steps. To reboot, you can either use the Start menu or press a combination of keys. …

How to Completely Reboot Your Computer - Techwalla
To initiate a soft reboot on a computer running a Windows operating system, open the Start menu by either clicking the Windows logo at the bottom of the screen or by pressing the Windows key …

How to Reboot Your Computer on Windows, Mac and Linux - Webopedia
Dec 15, 2023 · To reboot your computer means to restart it by closing out open programs, wiping any current processes residing in RAM, and restarting the operating system (OS). Reboots are …

What is Reboot? - Computer Hope
3 days ago · Rebooting a computer helps resolve many issues, such as Internet connectivity problems, slow browser response, and software issues. Essentially, it "starts over" any code …

How to Properly Reboot (Restart) a Windows Computer
Restarting a computer can solve a variety of problems, such as software glitches, slow performance, and network connectivity issues. However, there is a proper way to reboot a …

3 Ways to Restart a Computer - wikiHow Tech
Jun 6, 2025 · Click the Power icon. It’s a circle with a vertical line at its center at the bottom right part of the screen. Click Restart. The computer will now reboot. If you have any open programs, …

What is Reboot? - GeeksforGeeks
Jan 2, 2024 · A reboot is the process of restarting a computer. It resolves many issues in the computer such as some apps not working if our computer freezes due to driver issues. When we …

How to Restart Windows 10 - How-To Geek
Jun 25, 2022 · Restarting your Windows 10 PC is as easy as clicking a few options or running a command from Command Prompt. We'll show you the options available to you to turn your PC off …

How to Properly Reboot (Restart) a Windows Computer - Lifewire
Mar 19, 2024 · To safely restart a Windows computer, open the Start menu and choose the Restart option. Below are detailed directions if you need them. These instructions can be …

Restart (reboot) your PC - Microsoft Support
Select the Start button, then Power > Restart.

How to Reboot Windows 11: A Step-by-Step Guide to Restarting …
Aug 21, 2024 · Rebooting Windows 11 is a straightforward process that can be accomplished in a few simple steps. To reboot, you can either use the Start menu or press a combination of …

How to Completely Reboot Your Computer - Techwalla
To initiate a soft reboot on a computer running a Windows operating system, open the Start menu by either clicking the Windows logo at the bottom of the screen or by pressing the Windows …

How to Reboot Your Computer on Windows, Mac and Linux - Webopedia
Dec 15, 2023 · To reboot your computer means to restart it by closing out open programs, wiping any current processes residing in RAM, and restarting the operating system (OS). Reboots are …

What is Reboot? - Computer Hope
3 days ago · Rebooting a computer helps resolve many issues, such as Internet connectivity problems, slow browser response, and software issues. Essentially, it "starts over" any code …

How to Properly Reboot (Restart) a Windows Computer
Restarting a computer can solve a variety of problems, such as software glitches, slow performance, and network connectivity issues. However, there is a proper way to reboot a …

3 Ways to Restart a Computer - wikiHow Tech
Jun 6, 2025 · Click the Power icon. It’s a circle with a vertical line at its center at the bottom right part of the screen. Click Restart. The computer will now reboot. If you have any open …

What is Reboot? - GeeksforGeeks
Jan 2, 2024 · A reboot is the process of restarting a computer. It resolves many issues in the computer such as some apps not working if our computer freezes due to driver issues. When …

How to Restart Windows 10 - How-To Geek
Jun 25, 2022 · Restarting your Windows 10 PC is as easy as clicking a few options or running a command from Command Prompt. We'll show you the options available to you to turn your PC …