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Showing 1 - 12 of 12 results for “elmar rueckert”
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  • Data Modeling

    From Physical Processes to Machine Learning

    by Elmar Rueckert ...
    Series series Computer Science (R0)
    This book presents the fundamental theories, concepts, and methods of data modeling, bridging physical processes with machine learning predictions. It covers topics such as data collection, storage, analysis, and practical applications of machine learning.The textbook is designed for first-semester undergraduate students. The material introduces essential concepts in a clear and approachable way, ... Read more

    $40.49 USD

  • KI 2021: Advances in Artificial Intelligence

    44th German Conference on AI, Virtual Event, September 27 – October 1, 2021, Proceedings

    Edited by Stefan Edelkamp, Ralf Möller, Elmar Rueckert ...
    Series series Springer Nature Proceedings Computer Science
    This book constitutes the refereed proceedings of the 44th German Conference on Artificial Intelligence, KI 2021, held in September/October 2021. Due to COVID-19 pandemic the conference was held virtually.The 16 full and 4 short papers with one extended abstract were carefully reviewed and selected from 59 submissions. As well-established annual conference series KI is dedicated to research on ... Read more

    $76.49 USD

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  • Hands-On Machine Learning with Scikit-Learn and PyTorch

    Concepts, Tools, and Techniques to Build Intelligent Systems

    by Aurélien Géron ...
    The potential of machine learning today is extraordinary, yet many aspiring developers and tech professionals find themselves daunted by its complexity. Whether you're looking to enhance your skill set and apply machine learning to real-world projects or are simply curious about how AI systems function, this book is your jumping-off place.With an approachable yet deeply informative style, author ... Read more

    $55.49 USD

  • Machine Learning: Concepts, Methodologies, Tools and Applications

    Edited by Information Resources Management Association ...
    Statistics, psychology, and computer science are major influences in machine learning research. This exciting interdisciplinary science is a crucial component in many cutting-edge systems and business processes. Innovations in machine learning stand to change financial markets and uncover mysteries inherent in human learning. Machine Learning: Concepts, Methodologies, Tools, and Applications ... Read more

    $1,579.49 USD

    PRE-ORDER

  • Fundamentals of Machine Learning for Predictive Data Analytics, second edition

    Algorithms, Worked Examples, and Case Studies

    by John D. Kelleher, Brian Mac Namee, Aoife D'Arcy ...
    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 ... Read more

    $49.99 USD

  • xxAI - Beyond Explainable AI

    International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers

    Edited by Andreas Holzinger, Randy Goebel, Ruth Fong, Taesup Moon, Klaus-Robert Müller, Wojciech Samek ...
    Series series Computer Science (R0)
    This is an open access book.Statistical machine learning (ML) has triggered a renaissance of artificial intelligence (AI). While the most successful ML models, including Deep Neural Networks (DNN), have developed better predictivity, they have become increasingly complex, at the expense of human interpretability (correlation vs. causality). The field of explainable AI (xAI) has emerged with the ... Read more

    Free

  • Neural Network Methods in Natural Language Processing

    by Yoav Goldberg, Graeme Hirst ...
    Series 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. ... Read more

    $53.99 USD

  • The Shape of Data

    Geometry-Based Machine Learning and Data Analysis in R

    by Colleen M. Farrelly, Yaé Ulrich Gaba ...
    This advanced machine learning book highlights many algorithms from a geometric perspective and introduces tools in network science, metric geometry, and topological data analysis through practical application.Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the ... Read more

    $23.99 USD

  • Advances in Abstract Intelligence and Soft Computing

    Edited by Yingxu Wang ...
    Continuous developments in software and intelligence sciences have brought together the studies of both natural and machine intelligence and the relationship between the function of the brain and the abstract soft mind; creating a new multidisciplinary field of study. Advances in Abstract Intelligence and Soft Computing brings together the latest research in computer science: theoretical software ... Read more

    $166.49 USD

  • Applied Geostatistics with SGeMS

    A User's Guide

    by Nicolas Remy, Jianbing Wu, Alexandre Boucher ...
    The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying ... Read more

    $58.29 USD

  • Neural Network for Beginners

    Build Deep Neural Networks and Develop Strong Fundamentals using Python’s NumPy, and Matplotlib

    by Sebastian Klaas ...
    Deep learning helps you solve issues related to data problems as it has a vast array of mathematical algorithms and has capacity to detect patterns.This book starts with a quick view of deep learning in Python which would include definition, features and applications. You would be learning about perceptron, neural networks, Backpropagation. This book would also give you a clear insight of how to ... Read more

    $14.39 USD or Free with Kobo Plus

  • New Era for Robust Speech Recognition

    Exploiting Deep Learning

    Edited by Marc Delcroix, Shinji Watanabe, John R. Hershey, Florian Metze ...
    Series series Computer Science (R0)
    This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and ... Read more

    $170.09 USD