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Showing 1 - 12 of 12 results for “frank hutter”
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  • Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part I

    Edited by Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera ...
    Series Book 1 - Springer Nature Proceedings Computer Science
    The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.The 232 full papers and 10 demo papers ... Read more

    $89.99 USD

  • Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part II

    Edited by Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera ...
    Series Book 2 - Springer Nature Proceedings Computer Science
    The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.The 232 full papers and 10 demo papers ... Read more

    $89.99 USD

  • Machine Learning and Knowledge Discovery in Databases

    European Conference, ECML PKDD 2020, Ghent, Belgium, September 14–18, 2020, Proceedings, Part III

    Edited by Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera ...
    Series Book 3 - Springer Nature Proceedings Computer Science
    The 5-volume proceedings, LNAI 12457 until 12461 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2020, which was held during September 14-18, 2020. The conference was planned to take place in Ghent, Belgium, but had to change to an online format due to the COVID-19 pandemic.The 232 full papers and 10 demo papers ... Read more

    $89.99 USD

  • Automated Machine Learning

    Methods, Systems, Challenges

    Edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Series series The Springer Series on Challenges in Machine Learning
    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 ... Read more

    Free

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  • Data Mining: Concepts and Techniques

    by Jiawei Han, Micheline Kamber, Jian Pei ...
    Series series The Morgan Kaufmann Series in Data Management Systems
    Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and ... Read more

    $67.49 USD

  • Machine Learning for Data Streams

    with Practical Examples in MOA

    by Albert Bifet, Ricard Gavalda, Bernhard Pfahringer, Geoffrey Holmes ...
    Series series Adaptive Computation and Machine Learning series
    A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software framework.Today many information sources—including sensor networks, financial markets, social networks, and healthcare monitoring—are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, ... Read more

    $38.99 USD

  • The Text Mining Handbook

    Advanced Approaches in Analyzing Unstructured Data

    by Ronen Feldman, James Sanger ...
    Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of ... Read more

    $89.39 USD

  • Data Mining Applications with R

    by Yonghua Cen, Yanchang Zhao ...
    Data Mining Applications with R is a great resource for researchers and professionals to understand the wide use of R, a free software environment for statistical computing and graphics, in solving different problems in industry. R is widely used in leveraging data mining techniques across many different industries, including government, finance, insurance, medicine, scientific research and more. ... Read more

    $71.09 USD

  • Hyperparameter Tuning for Machine and Deep Learning with R

    A Practical Guide

    Edited by Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann ...
    Series series Computer Science (R0)
    This open access book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of machine learning (ML) and deep learning (DL) methods. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods ... Read more

    Free

  • Dynamic Networks And Cyber-security

    by Niall M Adams, Nicholas A Heard ...
    Series Book 1 - Security Science And Technology
    As an under-studied area of academic research, the analysis of computer network traffic data is still in its infancy. However, the challenge of detecting and mitigating malicious or unauthorised behaviour through the lens of such data is becoming an increasingly prominent issue.This collection of papers by leading researchers and practitioners synthesises cutting-edge work in the analysis of ... Read more

    $37.99 USD

  • Advances in Intelligent Data Analysis XVIII

    18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27–29, 2020, Proceedings

    Edited by Michael R. Berthold, Ad Feelders, Georg Krempl ...
    Series series Springer Nature Proceedings Computer Science
    This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020.The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over ... Read more

    Free

  • Machine Learning

    Master Supervised and Unsupervised Learning Algorithms with Real Examples (English Edition)

    by Dr Ruchi Doshi, Dr Kamal Kant Hiran, Ritesh Kumar Jain, Dr Kamlesh Lakhwani ...
    The book offers the readers the fundamental concepts of Machine Learning techniques in a user-friendly language. The book aims to give in-depth knowledge of the different Machine Learning (ML) algorithms and the practical implementation of the various ML approaches.This book covers different Supervised Machine Learning algorithms such as Linear Regression Model, Naïve Bayes classifier Decision ... Read more

    $14.39 USD or Free with Kobo Plus