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Engineering (R0) Série de Livres électroniques

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  • Meta-Learning in Decision Tree Induction

    par Krzysztof Grąbczewski ...
    Collections series Engineering (R0)
    The book focuses on different variants of decision tree induction but also describes the meta-learning approach in general which is applicable to other types of machine learning algorithms. The book discusses different variants of decision tree induction and represents a useful source of information to readers wishing to review some of the techniques used in decision tree learning, as well as ... En savoir plus

    $179.39 CAD

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  • Data Mining: Concepts and Techniques

    par Jiawei Han, Micheline Kamber, Jian Pei ...
    Collections 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 ... En savoir plus

    $82.99 CAD

  • Automated Machine Learning

    Methods, Systems, Challenges

    Modifié par Frank Hutter, Lars Kotthoff, Joaquin Vanschoren ...
    Collections 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 ... En savoir plus

    Gratuit

  • Machine Learning for Data Streams

    with Practical Examples in MOA

    par Albert Bifet, Ricard Gavalda, Bernhard Pfahringer, Geoffrey Holmes ...
    Collections 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, ... En savoir plus

    $58.39 CAD

  • A General Introduction to Data Analytics

    par João Moreira, Andre Carvalho, Tomás Horvath ...
    A guide to the principles and methods of data analysis that does not require knowledge of statistics or programmingA General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of ... En savoir plus

    $104.99 CAD

  • Gmdh-methodology And Implementation In Matlab

    par Godfrey C Onwubolu ...
    Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine.This is the first ... En savoir plus

    $47.99 CAD

  • Hyperparameter Tuning for Machine and Deep Learning with R

    A Practical Guide

    Modifié par Eva Bartz, Thomas Bartz-Beielstein, Martin Zaefferer, Olaf Mersmann ...
    Collections 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 ... En savoir plus

    Gratuit

  • Data Mining Applications with R

    par 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. ... En savoir plus

    $70.99 CAD

  • Machine Learning

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

    par 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 ... En savoir plus

    $21.99 CAD ou Gratuit avec Kobo Plus

  • Computer Aided Verification

    33rd International Conference, CAV 2021, Virtual Event, July 20–23, 2021, Proceedings, Part I

    Modifié par Alexandra Silva, K. Rustan M. Leino ...
    Collections Livre 1 - Springer Nature Proceedings Computer Science
    This open access two-volume set LNCS 12759 and 12760 constitutes the refereed proceedings of the 33rd International Conference on Computer Aided Verification, CAV 2021, held virtually in July 2021.The 63 full papers presented together with 16 tool papers and 5 invited papers were carefully reviewed and selected from 290 submissions. The papers were organized in the following topical sections:Part ... En savoir plus

    Gratuit

  • Introduction To Machine Learning In Quantitative Finance, An

    par Hao Ni, Xin Dong, Jinsong Zheng, Guangxi Yu ...
    Collections series Advanced Textbooks In Mathematics
    In today's world, we are increasingly exposed to the words 'machine learning' (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.An Introduction to Machine Learning in Quantitative ... En savoir plus

    $41.99 CAD

  • Computer Aided Verification

    32nd International Conference, CAV 2020, Los Angeles, CA, USA, July 21–24, 2020, Proceedings, Part I

    Modifié par Shuvendu K. Lahiri, Chao Wang ...
    Collections Livre 1 - Springer Nature Proceedings Computer Science
    The open access two-volume set LNCS 12224 and 12225 constitutes the refereed proceedings of the 32st International Conference on Computer Aided Verification, CAV 2020, held in Los Angeles, CA, USA, in July 2020.*The 43 full papers presented together with 18 tool papers and 4 case studies, were carefully reviewed and selected from 240 submissions. The papers were organized in the following topical ... En savoir plus

    Gratuit