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Machine Learning - Bok - Inbunden

Machine learning techniques have the potential of alleviating the complexity of knowledge acquisition. This book presents today's state and development tendencies of machine learning. It is a multi-author book. Taking into account the large amount of knowledge about machine learning and practice presented in the book, it is divided into three major parts: Introduction, Machine Learning Theory and Applications. Part I focuses on the introduction to machine learning. The author also attempts to promote..

SEK 2017.00

1

Machine Learning and Biometrics - Bok - Inbunden

We are entering the era of big data, and machine learning can be used to analyze this deluge of data automatically. Machine learning has been used to solve many interesting and often difficult real-world problems, and the biometrics is one of the leading applications of machine learning. This book introduces some new techniques on biometrics and machine learning, and new proposals of using machine learning techniques for biometrics as well. This book consists of two parts: \Biometrics\ and \Machine..

SEK 1830.00

1

Practical Machine Learning with R - Bok av Carsten (Professor of Economics Lange - Inbunden

This textbook is a comprehensive guide to machine learning and artificial intelligence tailored for students in business and economics. It takes a hands-on approach to teach machine learning, emphasizing practical applications over complex mathematical concepts.

SEK 1207.00

1

Quantum Machine Learning - Bok - Inbunden

SEK 1561.00

1

Applications of Machine Learning and Deep Learning on Biological Data - Bok av Faheem Masoodi - Inbunden

This book provides readers a comprehensive understanding of the application of machine Learning and deep Learning in proteomics, genomics, microarrays, text mining and related fields. The key objective is to provide machine learning applications to biological science problems, focusing on problems related to bioinformatics.

SEK 1497.99

1

Handbook of Research on Machine Learning - Bok - Häftad

An exploration of machine learning advancements. It covers many aspects in machine learning, along with the applications in healthcare, in the steel industry, for urban information retrieval, in garbage detection, in measuring air pollution, for stock market predictions, for underwater fish detection, as a fake news predictor, and more.

SEK 1290.00

1

Cost-Sensitive Machine Learning - Bok - Inbunden

SEK 1397.00

1

Machine Learning - Bok av T V (Anna University Geetha - Inbunden

This book starts with basic conceptual level of machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. A comprehensive account of various aspects of ethical machine learning has been discussed.

SEK 2047.00

1

Applied Machine Learning - Bok - Inbunden

This reprint focuses on applications of machine learning models in a diverse range of fields and problems. It reports substantive results on a wide range of learning methods; discusses the conceptualization of problems, data representation, feature engineering, machine learning models; undertakes critical comparisons with existing techniques; and presents an interpretation of the results. The topics within the chapters of the publication fall into six categories: computer vision, teaching and learning,..

SEK 1947.00

1

Machine Learning and Medical Imaging - Bok - Inbunden

Machine Learning and Medical Imaging presents state-of- the-art machine learning methods in medical image analysis. It first summarizes cutting-edge machine learning algorithms in medical imaging, including not only classical probabilistic modeling and learning methods, but also recent breakthroughs in deep learning, sparse representation/coding, and big data hashing. In the second part leading research groups around the world present a wide spectrum of machine learning methods with application to..

SEK 1841.00

1

Model-Based Machine Learning - Bok av John (Microsoft Research Ltd. Winn - Inbunden

A fundamental challenge when using machine learning is connecting the abstract mathematics of a machine learning technique to real world problems. This book tackles this challenge through model-based machine learning, focusing on understanding the assumptions encoded in a machine learning system.

SEK 1061.00

1

Machine Learning - Bok av Alessandro Betti - Häftad

Machine Learning: A Constraint-Based Approach, Second Edition provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic..

SEK 1081.00

1

Machine Learning with Noisy Labels - Bok av Gustavo Carneiro - Häftad

Machine Learning and Noisy Labels: Definitions, Theory, Techniques and Solutions provides an ideal introduction to machine learning with noisy labels that is suitable for senior undergraduates, post graduate students, researchers and practitioners using, and researching, machine learning methods. Most of the modern machine learning models based on deep learning techniques depend on carefully curated and cleanly labeled training sets to be reliably trained and deployed. However, the expensive labeling..

SEK 1210.00

1

Machine Learning Technologies and Applications - Bok - Häftad

SEK 2006.00

1

Machine Learning and Intelligent Communications - Bok - Häftad

SEK 1471.00

1

Machine Learning Paradigms - Advances in Deep Learning-based Technological Applications - Bok - Häftad

SEK 2006.00

1

Interpretable Machine Learning with Python - Learn to build interpretable high-performance models with hands-on real-world examples - Bok av Serg Masi

This hands-on book will help you make your machine learning models fairer, safer, and more reliable and in turn improve business outcomes. Every chapter introduces a new mission where you learn how to apply interpretation methods to realistic use cases with methods that work for any model type as well as methods specific for deep neural networks.

SEK 1051.00

1

Practical Machine Learning for Data Analysis Using Python - Bok av Abdulhamit (Institute of Biomedicine Subasi - Häftad

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..

SEK 1841.00

1

Machine Learning for Mobile Communications - Bok - Inbunden

Machine Learning for Mobile Communication takes readers on a journey from the basic to advanced knowledge about mobile communications and machine learning. It is for undergraduate and graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering.

SEK 1697.00

1

Financial Machine Learning - Bok av Bryan Kelly - Häftad

Financial Machine Learning surveys the nascent literature on machine learning in the study of financial markets. The authors highlight the best examples of what this line of research has to offer and recommend promising directions for future research. This survey is designed for both financial economists interested in grasping machine learning tools, as well as for statisticians and machine learners seeking interesting financial contexts where advanced methods may be deployed.This survey is organized..

SEK 1307.00

1

Bayesian Reasoning and Gaussian Processes for Machine Learning Applications - Bok - Inbunden

The book talks about Bayesian Reasoning and Gaussian Processes in machine learning applications. It contains recent advancement in machine learning and highlights the applications of machine learning algorithms. This book is primarily aimed at graduates, researchers and professionals in the field of data science and machine learning.

SEK 1611.00

1