Motoaki Kawanabe is a Postdoctoral Researcher in Intelligent Data Analysis at the Fraunhofer FIRST Institute, Berlin.
9 Ebooki wg Masashi Sugiyama
Masashi Sugiyama: Introduction to Statistical Machine Learning
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 …
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Angielski
DRM
€101.47
Takafumi Kanamori & Masashi Sugiyama: Density Ratio Estimation in Machine Learning
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PDF
Angielski
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€48.18
Shinichi Nakajima & Masashi Sugiyama: Variational Bayesian Learning Theory
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EPUB
Angielski
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€158.29
Masashi Sugiyama: Statistical Reinforcement Learning
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 …
PDF
Angielski
DRM
€57.51
Sebastian Nowozin & Suvrit Sra: Optimization for Machine Learning
An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.The interplay between optimization and machine learning is …
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Angielski
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€154.10
Masashi Sugiyama: Statistical Reinforcement Learning
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 …
EPUB
Angielski
DRM
€57.74
