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1 - 12 de 12 resultados para “jason hsu”
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  • The Pocket Guide to Medical Retina

    de Jason Hsu, Allen Chiang ...
    Series series Pocket Guides
    The latest installment in SLACK's Pocket Guide series, The Pocket Guide to Medical Retina provides essential information on medical retina diseases along with multimodal imaging of each condition, perfect for medical students, residents, fellows, or comprehensive ophthalmologists.This accessible small handbook covers the basics while allowing readers to quickly synthesize information easily ... Leer más

    $86.99 USD

  • Multiple Comparisons

    Theory and Methods

    de Jason Hsu ...
    Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method ... Leer más

    $68.99 USD

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  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    de Richard E. Neapolitan, Xia Jiang ...
    Series series Chapman & Hall/CRC Artificial Intelligence and Robotics Series
    The first edition of this popular textbook, Contemporary Artificial Intelligence, provided an accessible and student friendly introduction to AI. This fully revised and expanded update, Artificial Intelligence: With an Introduction to Machine Learning, Second Edition, retains the same accessibility and problem-solving approach, while providing new material and methods.The book is divided into five ... Leer más

    $62.99 USD

  • Computer Age Statistical Inference

    Algorithms, Evidence, and Data Science

    de Bradley Efron, Trevor Hastie ...
    Series Libro 5 - Institute of Mathematical Statistics Monographs
    The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating ... Leer más

    $72.99 USD

  • Foundations of Statistical Natural Language Processing

    de Christopher Manning, Hinrich Schutze ...
    Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as ... Leer más

    $77.99 USD

  • Markov Models: An Introduction to Markov Models

    de Steven Taylor ...
    Markov ModelsThis book will offer you an insight into the Hidden Markov Models as well as the Bayesian Networks. Additionally, by reading this book, you will also learn algorithms such as Markov Chain Sampling.Furthermore, this book will also teach you how Markov Models are very relevant when a decision problem is associated with a risk that continues over time, when the timing of occurrenc... ... Leer más

    $3.99 USD o gratis con Kobo Plus

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    de Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...
    Series series Adaptive Computation and Machine Learning series
    A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a self-contained and concise introduction to causal models and how to learn them from data.After explaining the ... Leer más

    $27.99 USD

  • Hidden Markov Models for Time Series

    An Introduction Using R, Second Edition

    de Walter Zucchini, Iain L. MacDonald, Roland Langrock ...
    Series series Chapman & Hall/CRC Monographs on Statistics and Applied Probability
    Hidden Markov Models for Time Series: An Introduction Using R, Second Edition illustrates the great flexibility of hidden Markov models (HMMs) as general-purpose models for time series data. The book provides a broad understanding of the models and their uses.After presenting the basic model formulation, the book covers estimation, forecasting, decoding, prediction, model selection, and Bayesian ... Leer más

    Antes $72.99 USD Ahora $64.99 USD

  • Foundations of Software Science and Computation Structures

    21st International Conference, FOSSACS 2018, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2018, Thessaloniki, Greece, April 14–20, 2018. Proceedings

    Edición de Christel Baier, Ugo Dal Lago ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the proceedings of the 21st International Conference on Foundations of Software Science and Computational Structures, FOSSACS 2018, which took place in Thessaloniki, Greece, in April 2018, held as part of the European Joint Conference on Theory and Practice of Software, ETAPS 2018.The 31 papers presented in this volume were carefully reviewed and selected from 103 submissions ... Leer más

    Gratis

  • The Handbook of Computational Linguistics and Natural Language Processing

    Edición de Alexander Clark, Chris Fox, Shalom Lappin ...
    Series series Wiley Handbooks in Linguistics
    This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP).Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forwardIncludes an introduction to the major theoretical issues in these fields, as well as the central engineering ... Leer más

    $46.00 USD

  • Machine Learning from Weak Supervision

    An Empirical Risk Minimization Approach

    de Masashi Sugiyama, Han Bao, Takashi Ishida, Nan Lu, Tomoya Sakai ...
    Series series Adaptive Computation and Machine Learning series
    Fundamental theory and practical algorithms of weakly supervised classification, emphasizing an approach based on empirical risk minimization.Standard machine learning techniques require large amounts of labeled data to work well. When we apply machine learning to problems in the physical world, however, it is extremely difficult to collect such quantities of labeled data. In this book Masashi ... Leer más

    $39.99 USD

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    de Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...
    Series series Synthesis Lectures on Artificial Intelligence and Machine Learning
    An intelligent agent interacting with the real world will encounter individual people, courses, test results, drugs prescriptions, chairs, boxes, etc., and needs to reason about properties of these individuals and relations among them as well as cope with uncertainty. Uncertainty has been studied in probability theory and graphical models, and relations have been studied in logic, in particular in ... Leer más

    $46.79 USD