Masashi Sugiyama – författare
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15 produkter
Introduction to Statistical Machine Learning
Häftad, 2015
1355 kr
Lägg i varukorg
Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image …
Introduction to Statistical Machine Learning
E-bok, 2015
1449 kr
Lägg i varukorg
Machine learning allows computers to learn and discern patterns without actually being programmed. When Statistical techniques and machine learning are combined together they are a powerful tool for analysing various kinds of data in many computer science/engineering areas including, image …
Dataset Shift in Machine Learning
Av Joaquin Quinonero-Candela, Masashi Sugiyama m. fl.
Häftad, 2022
610 kr
Lägg i varukorg
Statistical Reinforcement Learning
Modern Machine Learning Approaches
Häftad, 2020
739 kr
Lägg i varukorg
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for …
Introduction to Statistical Machine Learning
Av Masashi Sugiyama, Takashi Ishida
Häftad, 2027
1611 kr
Kommande
Introduction to Statistical Machine Learning, Second Edition provides a general introduction to the fundamental concepts of statistics and probability that are used in describing machine learning algorithms, covering the two major approaches of machine learning techniques, generative methods and …
Density Ratio Estimation in Machine Learning
Av Masashi Sugiyama, Taiji Suzuki m. fl.
Inbunden, 2012
2281 kr
Lägg i varukorg
Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine …
Statistical Reinforcement Learning
Modern Machine Learning Approaches
E-bok, 2015
847 kr
Lägg i varukorg
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the …
Variational Bayesian Learning Theory
Av Shinichi Nakajima, Kazuho Watanabe m. fl.
Inbunden, 2019
2151 kr
Lägg i varukorg
Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this …
Variational Bayesian Learning Theory
Av Shinichi Nakajima, Kazuho Watanabe m. fl.
Häftad, 2025
618 kr
Lägg i varukorg
Variational Bayesian learning is one of the most popular methods in machine learning. Designed for researchers and graduate students in machine learning, this book summarizes recent developments in the non-asymptotic and asymptotic theory of variational Bayesian learning and suggests how this …
Density Ratio Estimation in Machine Learning
Av Masashi Sugiyama, Taiji Suzuki m. fl.
Häftad, 2018
705 kr
Lägg i varukorg
Machine learning is an interdisciplinary field of science and engineering that studies mathematical theories and practical applications of systems that learn. This book introduces theories, methods and applications of density ratio estimation, which is a newly emerging paradigm in the machine …
Statistical Reinforcement Learning
Modern Machine Learning Approaches
Inbunden, 2015
1575 kr
Lägg i varukorg
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past actions. With numerous successful applications in business intelligence, plant control, and gaming, the RL framework is ideal for …
Statistical Reinforcement Learning
Modern Machine Learning Approaches
E-bok, 2015
866 kr
Lägg i varukorg
Reinforcement learning (RL) is a framework for decision making in unknown environments based on a large amount of data. Several practical RL applications for business intelligence, plant control, and gaming have been successfully explored in recent years. Providing an accessible introduction to the …
Data Science and Optimization
Av Sanjeena Dang, Antoine Deza m. fl.
Inbunden, 2026
2188 kr
Lägg i varukorg
Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science …
Data Science and Optimization
Av Masashi Sugiyama, Paul D. McNicholas m. fl.
E-bok, 2026
2925 kr
Lägg i varukorg
Data science and optimization are increasingly intertwined as both focus on developing computational and methodological approaches to tackling large and otherwise complex datasets. Optimization is primarily concerned with accuracy, computational efficiency, and robustness while data science …
Machine Learning in Non-Stationary Environments
Introduction to Covariate Shift Adaptation
Av Masashi Sugiyama, Motoaki Kawanabe
Inbunden, 2012
503 kr
Tillfälligt slut
