Skip to main content
Search Button
Librairie Kobo Canada Cartes cadeau Aide

Kobo Rakuten

Ma liste d'envies

Panier

Vous profitez des avantages réservés aux VIP !

Article(s) non disponible(s) à la vente
Veuillez vérifier votre panier. Vous pouvez supprimer le ou les articles qui ne sont pas disponibles maintenant ou nous les supprimerons automatiquement au moment du règlement de la commande.
articlesarticle
articlesarticle

Recommandé pour vous

Loading...


1-12 sur 12 résultats pour « ann e nicholson »
Skip side bar filters

  • Bayesian Artificial Intelligence

    par Kevin B. Korb, Ann E. Nicholson ...
    Collections series Chapman & Hall/CRC Computer Science & Data Analysis
    The second edition of this bestseller provides a practical and accessible introduction to the main concepts, foundation, and applications of Bayesian networks. This edition contains a new chapter on Bayesian network classifiers and a new section on object-oriented Bayesian networks, along with new applications and case studies. It includes a new section that addresses foundational problems with ... En savoir plus

    $94.99 CAD

Les lecteurs de ce roman ont aussi aimé

  • Causal Inference in Statistics

    A Primer

    par Judea Pearl, Madelyn Glymour, Nicholas P. Jewell ...
    CAUSAL INFERENCE IN STATISTICSA PrimerCausality is central to the understanding and use of data. Without an understanding of cause–effect relationships, we cannot use data to answer questions as basic as "Does this treatment harm or help patients?" But though hundreds of introductory texts are available on statistical methods of data analysis, until now, no beginner-level book has been written ... En savoir plus

    $53.99 CAD

  • Data Mining

    Practical Machine Learning Tools and Techniques, Second Edition

    par Eibe Frank, Ian H. Witten ...
    Collections series The Morgan Kaufmann Series in Data Management Systems
    Data Mining, Second Edition, describes data mining techniques and shows how they work. The book is a major revision of the first edition that appeared in 1999. While the basic core remains the same, it has been updated to reflect the changes that have taken place over five years, and now has nearly double the references. The highlights of this new edition include thirty new technique sections; an ... En savoir plus

    $66.99 CAD

  • Introduction to Machine Learning, fourth edition

    par Ethem Alpaydin ...
    Collections series Adaptive Computation and Machine Learning series
    A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Machine learning underlies such exciting new technologies as self-driving cars, speech recognition, and translation applications. This ... En savoir plus

    $95.99 CAD

  • Artificial Intelligence

    With an Introduction to Machine Learning, Second Edition

    par Richard E. Neapolitan, Xia Jiang ...
    Collections 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 ... En savoir plus

    $86.99 CAD

  • Markov Models: An Introduction to Markov Models

    par 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... ... En savoir plus

    $5.99 CAD ou Gratuit avec Kobo Plus

  • Elements of Causal Inference

    Foundations and Learning Algorithms

    par Jonas Peters, Dominik Janzing, Bernhard Scholkopf ...
    Collections 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 ... En savoir plus

    $51.99 CAD

  • The Handbook of Computational Linguistics and Natural Language Processing

    Modifié par Alexander Clark, Chris Fox, Shalom Lappin ...
    Collections 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 ... En savoir plus

    $57.99 CAD

  • Network Psychometrics with R

    A Guide for Behavioral and Social Scientists

    Modifié par Adela-Maria Isvoranu, Sacha Epskamp, Lourens Waldorp, Denny Borsboom ...
    A systematic, innovative introduction to the field of network analysis, Network Psychometrics with R: A Guide for Behavioral and Social Scientists provides a comprehensive overview of and guide to both the theoretical foundations of network psychometrics as well as modelling techniques developed from this perspective.Written by pioneers in the field, this textbook showcases cutting-edge methods in ... En savoir plus

    $107.99 CAD

  • Neural Network Methods in Natural Language Processing

    par Yoav Goldberg, Graeme Hirst ...
    Collections series Synthesis Lectures on Human Language Technologies
    Neural networks are a family of powerful machine learning models and this book focuses on their application to natural language data.The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. ... En savoir plus

    $65.99 CAD

  • Bayesian Networks in R

    with Applications in Systems Biology

    par Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre ...
    Collections series Mathematics and Statistics (R0)
    Bayesian Networks in R with Applications in Systems Biology is unique as it introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is also gradually increased across the chapters with exercises and solutions for enhanced understanding for hands-on ... En savoir plus

    $108.99 CAD

  • Statistical Relational Artificial Intelligence

    Logic, Probability, and Computation

    par Kristian Kersting, Luc De Raedt, Sriraam Natarajan, David Poole ...
    Collections 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 ... En savoir plus

    $57.99 CAD