Prediction and Analysis for Knowledge Representation and Machine Learning, Kumar Avadhesh, Sagar Shrddha, Kumar T. Ganesh

Автор: Katharina Morik
Название: Knowledge Representation and Organization in Machine Learning
ISBN: 354050768X ISBN-13(EAN): 9783540507680
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Machine learning has become a growing field of Artificial Intelligence. This book contains research papers that focus on the relation between knowledge representation, knowledge acquisition and machine learning from a different angle. It is of interest to both experts and newcomers to the subject.

Автор: Ceja, Enrique Garcia
Название: Behavior analysis with machine learning using r
ISBN: 1032067047 ISBN-13(EAN): 9781032067049
Издательство: Taylor&Francis
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Цена: 12707.00 р.
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Описание: This book introduces machine learning and deep learning concepts and algorithms applied to a diverse set of behavior analysis problems. It focuses on the practical aspects of solving such problems based on data collected from sensors or stored in electronic records.

Автор: Myra Spiliopoulou; Lars Schmidt-Thieme; Ruth Janni
Название: Data Analysis, Machine Learning and Knowledge Discovery
ISBN: 331901594X ISBN-13(EAN): 9783319015941
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics.

Автор: Subasi, Abdulhamit
Название: Practical Machine Learning For Data Analysis Using Python
ISBN: 0128213795 ISBN-13(EAN): 9780128213797
Издательство: Elsevier Science
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Цена: 16505.00 р.
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Описание:

Practical Machine Learning for Data Analysis Using Python is a problem solver's guide for creating real-world intelligent systems. It provides a comprehensive approach with concepts, practices, hands-on examples, and sample code. The book teaches readers the vital skills required to understand and solve different problems with machine learning. It teaches machine learning techniques necessary to become a successful practitioner, through the presentation of real-world case studies in Python machine learning ecosystems. The book also focuses on building a foundation of machine learning knowledge to solve different real-world case studies across various fields, including biomedical signal analysis, healthcare, security, economics, and finance. Moreover, it covers a wide range of machine learning models, including regression, classification, and forecasting. The goal of the book is to help a broad range of readers, including IT professionals, analysts, developers, data scientists, engineers, and graduate students, to solve their own real-world problems.

Автор: Paul H.C. Eilers, Brian D. Marx
Название: Practical Smoothing: The Joys of P-splines
ISBN: 1108482953 ISBN-13(EAN): 9781108482950
Издательство: Cambridge Academ
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Цена: 8554.00 р.
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Описание: P-splines are widely used in statistics and machine learning for smoothing out noise in data and to avoid overtraining. This practical guide covers theory and a range of standard and non-standard applications with code in R for professionals and researchers looking for a simple, flexible and powerful smoothing tool.

Автор: Tim Roughgarden
Название: Beyond the Worst-Case Analysis of Algorithms
ISBN: 1108494315 ISBN-13(EAN): 9781108494311
Издательство: Cambridge Academ
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Цена: 9187.00 р.
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Описание: Understanding when and why algorithms work is a fundamental challenge. For problems ranging from clustering to linear programming to neural networks there are significant gaps between empirical performance and prediction based on traditional worst-case analysis. The book introduces exciting new methods for assessing algorithm performance.

Автор: Montesinos Lуpez Osval Antonio, Montesinos Lуpez Abelardo, Crossa Josй
Название: Multivariate Statistical Machine Learning Methods for Genomic Prediction
ISBN: 3030890090 ISBN-13(EAN): 9783030890094
Издательство: Springer
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Цена: 5589.00 р.
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Описание: It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool.

Автор: Montesinos Lуpez Osval Antonio, Montesinos Lуpez Abelardo, Crossa Josй
Название: Multivariate Statistical Machine Learning Methods for Genomic Prediction
ISBN: 3030890120 ISBN-13(EAN): 9783030890124
Издательство: Springer
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Цена: 5589.00 р.
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Описание: It provides an accessible way to understand the theory behind each statistical learning tool, the required pre-processing, the basics of model building, how to train statistical learning methods, the basic R scripts needed to implement each statistical learning tool, and the output of each tool.

Автор: Rongrong Ji
Название: Learning-Based Local Visual Representation and Indexing
ISBN: 0128024097 ISBN-13(EAN): 9780128024096
Издательство: Elsevier Science
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Цена: 5051.00 р.
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Описание: Learning-Based Local Visual Representation and Indexing, reviews the state-of-the-art in visual content representation and indexing, introduces cutting-edge techniques in learning based visual representation, and discusses emerging topics in visual local representation, and introduces the most recent advances in content-based visual search techniques.

Автор: Frasconi
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319462261 ISBN-13(EAN): 9783319462264
Издательство: Springer
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Цена: 13696.00 р.
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Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Автор: Berendt
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319461303 ISBN-13(EAN): 9783319461304
Издательство: Springer
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Цена: 8106.00 р.
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Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.

Автор: Frasconi
Название: Machine Learning and Knowledge Discovery in Databases
ISBN: 3319461273 ISBN-13(EAN): 9783319461274
Издательство: Springer
Рейтинг:
Цена: 13696.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016.