Vladimir Cherkassky Learning from Data
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An interdisciplinary framework for learning methodologies—covering statistics, neural networks, and fuzzy logic, this book provides a unified treatment of the principles and methods for learning dependencies from data. It establishes a general conceptual framework in which various learning methods
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Provost Lloyd P. The Health Care Data Guide. Learning from Data for Improvement
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The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide.
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Группа авторов Imbalanced Learning
Купить за 12399.84 RUR
The first book of its kind to review the current status and future direction of the exciting new branch of machine learning/data mining called imbalanced learning Imbalanced learning focuses on how an intelligent system can learn when it is provided with imbalanced data. Solving imbalanced learning
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Diane J. Cook Activity Learning
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Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human Behavior from Sensor Data provides an in-depth look at computational approaches to activity learning from
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Plamen Angelov Autonomous Learning Systems. From Data Streams to Knowledge in Real-time
Купить за 14774.08 RUR
Autonomous Learning Systems is the result of over a decade of focused research and studies in this emerging area which spans a number of well-known and well-established disciplines that include machine learning, system identification, data mining, fuzzy logic, neural networks, neuro-fuzzy systems,
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Vladimir V. Zemsha Diversity. From ethnocentrism to ethnorelativism
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The notion of diversity. Ethnocentrism and how to live out in a multicultural society. The main misconceptions on the path of interculturization.The human Ego as a property inherent in nature, makes a human to identify the self in the world and regard the self as a subject through which he survives
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Группа авторов Advanced Analytics and Deep Learning Models
Купить за 20781.97 RUR
Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc.
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The Programming Book From Entry to Practice for Python 3.5 Machine Learning Data Processing Programming Textbooks
Купить за 2381.53 RUR
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Группа авторов Data Mining and Learning Analytics
Купить за 12486.46 RUR
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters
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Группа авторов Advanced Healthcare Systems
Купить за 20771.17 RUR
ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial
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Dehmer Matthias Statistical and Machine Learning Approaches for Network Analysis
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Explore the multidisciplinary nature of complex networks through machine learning techniques Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel approaches on graph classes and graph
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Stephen Winters-Hilt Informatics and Machine Learning
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Informatics and Machine Learning Discover a thorough exploration of how to use computational, algorithmic, statistical, and informatics methods to analyze digital data Informatics and Machine Learning: From Martingales to Metaheuristics delivers an interdisciplinary presentation on how
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