Download or read book After the Machines Episode Two Transition written by Robert Stanek and published by Big Blue Sky Press. This book was released on 2014-11-28 with total page 74 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This one's memorable and fascinating heroine is someone you're going to love as much as Katniss Everdeen." - Sandra Brown, author "A gripping tale. Perfectly paced and brilliantly plotted." - Cathy Thompson, author "Stanek's written many good, even great, books. This one's exceptional. Read it!" - Shannon Hale, author "Builds and builds to a crescendo. Part Stephen King, part Suzanne Collins, part Max Brooks, 100% phenomenal!" - David Eastman, author "Wonderful action writing. Fast, fun, and smart." - Margaret Brown, author "I can see why Rothfuss doesn't want people to read Stanek. Stanek's a much more capable writer." - Emily Asimov, author "What an amazing book! Unique and innovative, captivating to the end." - Mary Osborne, author "Anyone who enjoyed The Hunger Games, World War Z, or The Maze Runner is going to enjoy this book." - Lisa Gardner, author Episode #2. Where were you when the machine apocalypse began? In the ruins of our world, a new order arose, an order controlled by the very machines humankind created. The end for us came not from a massive global war but from something unthinkable, incomprehensible. The machines simply replaced us and we let them, and so, in the end, humanity went out not with a bang, but with a whimper. No shots fired. No bombs dropped. No cities destroyed. We ended and the machines began—or at least that is what the few human survivors of the machine apocalypse believe. After the Machines Episode One: Awakening Episode Two: Transition Episode Three: Descent Episode Four: Precipice ### To the machines, we became nothing—except maybe outsiders, if they considered us at all. Outsiders looking in on their reality, for the machines weren’t bothered by our existence, or at least, if they were, they weren’t bothered enough to bother us. They certainly didn’t seem to require anything of us or have any need of us at all—if they had needed us, they probably would have enslaved us. But they hadn’t. Enslaved us that is. The machines hadn’t done anything to us really. Except take over the world—and it was their world now. It certainly wasn’t ours. We were outsiders, strangers really. We looked in on their world. They didn’t acknowledge us. They probably didn’t even consider us a part of their world. Just as we didn’t consider the small things that crawled beneath our feet as part of our world. Matthew told us it wasn’t the machines who killed us. Matthew being the only one here now who remembered when we drove the automobiles, flew on the airplanes, and rode on cars behind the locomotives. He said most of us just died. Us being the human race. I didn’t believe that. I believed we died of neglect. The neglect of the machines. The machines who cared not enough to kill or enslave us. Luke would have called it benign neglect. Luke being the one who taught me to read and write my letters and words. He knew all the fancy words. He taught me everything really. He remembered—I didn’t. Don’t, really. These words—his really as much as my own. But Luke was gone. Is gone really, if you don’t mind me slipping into the present. Luke said it’s wrong to slip from past to present or present to past, but I do. The present is—and Luke isn’t. The past was—and sometimes I can see it. ### After the Machines is a story unlike any other you’ve ever read. It’s the story of us, the humans who struggle to survive in a world we no longer control.

Download or read book Machine Learning and Knowledge Discovery in Databases written by Walter Daelemans and published by Springer. This book was released on 2008-08-17 with total page 721 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Download or read book Advances in Mechanism and Machine Science written by Tadeusz Uhl and published by Springer. This book was released on 2019-06-13 with total page 4203 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers the proceedings of the 15th IFToMM World Congress, which was held in Krakow, Poland, from June 30 to July 4, 2019. Having been organized every four years since 1965, the Congress represents the world’s largest scientific event on mechanism and machine science (MMS). The contributions cover an extremely diverse range of topics, including biomechanical engineering, computational kinematics, design methodologies, dynamics of machinery, multibody dynamics, gearing and transmissions, history of MMS, linkage and mechanical controls, robotics and mechatronics, micro-mechanisms, reliability of machines and mechanisms, rotor dynamics, standardization of terminology, sustainable energy systems, transportation machinery, tribology and vibration. Selected by means of a rigorous international peer-review process, they highlight numerous exciting advances and ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Download or read book Probabilistic Machine Learning written by Kevin P. Murphy and published by MIT Press. This book was released on 2023-08-15 with total page 1352 pages. Available in PDF, EPUB and Kindle. Book excerpt: An advanced book for researchers and graduate students working in machine learning and statistics who want to learn about deep learning, Bayesian inference, generative models, and decision making under uncertainty. An advanced counterpart to Probabilistic Machine Learning: An Introduction, this high-level textbook provides researchers and graduate students detailed coverage of cutting-edge topics in machine learning, including deep generative modeling, graphical models, Bayesian inference, reinforcement learning, and causality. This volume puts deep learning into a larger statistical context and unifies approaches based on deep learning with ones based on probabilistic modeling and inference. With contributions from top scientists and domain experts from places such as Google, DeepMind, Amazon, Purdue University, NYU, and the University of Washington, this rigorous book is essential to understanding the vital issues in machine learning. Covers generation of high dimensional outputs, such as images, text, and graphs Discusses methods for discovering insights about data, based on latent variable models Considers training and testing under different distributions Explores how to use probabilistic models and inference for causal inference and decision making Features online Python code accompaniment

Download or read book Man Machine Interactions written by Krzysztof A. Cyran and published by Springer Science & Business Media. This book was released on 2009-10-01 with total page 667 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume reflects a number of research streams on the development of computer systems and software that makes it possible to employ them in a variety of human activities ranging from logic studies and artificial intelligence, rule-based control of technological processes, image analysis, expert systems and decision support, to assistance in creative works. In particular, the volume points to a number of new advances in man-machine communication, interaction between visualization and modeling, rough granular computing in human-centric information processing and the discovery of affinities between perceptual granules. The topical subdivisions of this volume include human-computer interactions, decision support, rough fuzzy investigations, advances in classification methodology, pattern analysis and signal processing, computer vision and image analysis, advances in algorithmics, databases and data warehousing, and embedded system applications.

Download or read book Fundamentals of Machine Learning for Predictive Data Analytics second edition written by John D. Kelleher and published by MIT Press. This book was released on 2020-10-20 with total page 853 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Machine Learning and Knowledge Discovery in Databases Research Track written by Albert Bifet and published by Springer Nature. This book was released on with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book An Introduction to Machine Learning written by Gopinath Rebala and published by Springer. This book was released on 2019-05-07 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: Just like electricity, Machine Learning will revolutionize our life in many ways – some of which are not even conceivable today. This book provides a thorough conceptual understanding of Machine Learning techniques and algorithms. Many of the mathematical concepts are explained in an intuitive manner. The book starts with an overview of machine learning and the underlying Mathematical and Statistical concepts before moving onto machine learning topics. It gradually builds up the depth, covering many of the present day machine learning algorithms, ending in Deep Learning and Reinforcement Learning algorithms. The book also covers some of the popular Machine Learning applications. The material in this book is agnostic to any specific programming language or hardware so that readers can try these concepts on whichever platforms they are already familiar with. Offers a comprehensive introduction to Machine Learning, while not assuming any prior knowledge of the topic; Provides a complete overview of available techniques and algorithms in conceptual terms, covering various application domains of machine learning; Not tied to any specific software language or hardware implementation.

Download or read book Focus On 100 Most Popular Television Shows Set in New York City written by Wikipedia contributors and published by e-artnow sro. This book was released on with total page 1194 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Focus On 100 Most Popular Television Series by Warner Bros Television written by Wikipedia contributors and published by e-artnow sro. This book was released on with total page 1270 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Machine Learning Applications in Electronic Design Automation written by Haoxing Ren and published by Springer Nature. This book was released on 2023-01-01 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.

Download or read book Machine Learning ECML 2005 written by João Gama and published by Springer Science & Business Media. This book was released on 2005-09-22 with total page 784 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 16th European Conference on Machine Learning, ECML 2005, jointly held with PKDD 2005 in Porto, Portugal, in October 2005. The 40 revised full papers and 32 revised short papers presented together with abstracts of 6 invited talks were carefully reviewed and selected from 335 papers submitted to ECML and 30 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

Download or read book Theory and Novel Applications of Machine Learning written by Er Meng Joo and published by BoD – Books on Demand. This book was released on 2009-01-01 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even since computers were invented, many researchers have been trying to understand how human beings learn and many interesting paradigms and approaches towards emulating human learning abilities have been proposed. The ability of learning is one of the central features of human intelligence, which makes it an important ingredient in both traditional Artificial Intelligence (AI) and emerging Cognitive Science. Machine Learning (ML) draws upon ideas from a diverse set of disciplines, including AI, Probability and Statistics, Computational Complexity, Information Theory, Psychology and Neurobiology, Control Theory and Philosophy. ML involves broad topics including Fuzzy Logic, Neural Networks (NNs), Evolutionary Algorithms (EAs), Probability and Statistics, Decision Trees, etc. Real-world applications of ML are widespread such as Pattern Recognition, Data Mining, Gaming, Bio-science, Telecommunications, Control and Robotics applications. This books reports the latest developments and futuristic trends in ML.

Download or read book The Second Machine Age Work Progress and Prosperity in a Time of Brilliant Technologies written by Erik Brynjolfsson and published by W. W. Norton & Company. This book was released on 2014-01-20 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: The big stories -- The skills of the new machines : technology races ahead -- Moore's law and the second half of the chessboard -- The digitization of just about everything -- Innovation : declining or recombining? -- Artificial and human intelligence in the second machine age -- Computing bounty -- Beyond GDP -- The spread -- The biggest winners : stars and superstars -- Implications of the bounty and the spread -- Learning to race with machines : recommendations for individuals -- Policy recommendations -- Long-term recommendations -- Technology and the future (which is very different from "technology is the future").

Download or read book Machine Learning and Knowledge Discovery in Databases written by Paolo Frasconi and published by Springer. This book was released on 2016-09-03 with total page 850 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123 full papers and 16 short papers presented were carefully reviewed and selected from a total of 460 submissions. The papers presented focus on practical and real-world studies of machine learning, knowledge discovery, data mining; innovative prototype implementations or mature systems that use machine learning techniques and knowledge discovery processes in a real setting; recent advances at the frontier of machine learning and data mining with other disciplines. Part I and Part II of the proceedings contain the full papers of the contributions presented in the scientific track and abstracts of the scientific plenary talks. Part III contains the full papers of the contributions presented in the industrial track, short papers describing demonstration, the nectar papers, and the abstracts of the industrial plenary talks.

Download or read book Statistical Machine Learning written by Richard Golden and published by CRC Press. This book was released on 2020-06-24 with total page 525 pages. Available in PDF, EPUB and Kindle. Book excerpt: The recent rapid growth in the variety and complexity of new machine learning architectures requires the development of improved methods for designing, analyzing, evaluating, and communicating machine learning technologies. Statistical Machine Learning: A Unified Framework provides students, engineers, and scientists with tools from mathematical statistics and nonlinear optimization theory to become experts in the field of machine learning. In particular, the material in this text directly supports the mathematical analysis and design of old, new, and not-yet-invented nonlinear high-dimensional machine learning algorithms. Features: Unified empirical risk minimization framework supports rigorous mathematical analyses of widely used supervised, unsupervised, and reinforcement machine learning algorithms Matrix calculus methods for supporting machine learning analysis and design applications Explicit conditions for ensuring convergence of adaptive, batch, minibatch, MCEM, and MCMC learning algorithms that minimize both unimodal and multimodal objective functions Explicit conditions for characterizing asymptotic properties of M-estimators and model selection criteria such as AIC and BIC in the presence of possible model misspecification This advanced text is suitable for graduate students or highly motivated undergraduate students in statistics, computer science, electrical engineering, and applied mathematics. The text is self-contained and only assumes knowledge of lower-division linear algebra and upper-division probability theory. Students, professional engineers, and multidisciplinary scientists possessing these minimal prerequisites will find this text challenging yet accessible. About the Author: Richard M. Golden (Ph.D., M.S.E.E., B.S.E.E.) is Professor of Cognitive Science and Participating Faculty Member in Electrical Engineering at the University of Texas at Dallas. Dr. Golden has published articles and given talks at scientific conferences on a wide range of topics in the fields of both statistics and machine learning over the past three decades. His long-term research interests include identifying conditions for the convergence of deterministic and stochastic machine learning algorithms and investigating estimation and inference in the presence of possibly misspecified probability models.

Download or read book Morta Las Vegas written by Nathaniel Lewis and published by U of Nebraska Press. This book was released on 2017-11 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through all its transformations and reinventions over the past century, “Sin City” has consistently been regarded by artists and cultural critics as expressing in purest form, for better or worse, an aesthetic and social order spawned by neon signs and institutionalized indulgence. In other words, Las Vegas provides a codex with which to confront the problems of the West and to track the people, materials, ideas, and virtual images that constitute postregional space. Morta Las Vegas considers Las Vegas and the problem of regional identity in the American West through a case study of a single episode of the television crime drama CSI: Crime Scene Investigation. Delving deep into the interwoven events of the episode titled “4 × 4,” but resisting a linear, logical case-study approach, the authors draw connections between the city—a layered and complex world—and the violent, uncanny mysteries of a crime scene. Morta Las Vegas reveals nuanced issues characterizing the emergence of a postregional West, moving back and forth between a geographical and a procedural site and into a place both in between and beyond Western identity.