Författare: Masashi Sugiyama

Stöd
Motoaki Kawanabe is a Postdoctoral Researcher in Intelligent Data Analysis at the Fraunhofer FIRST Institute, Berlin.




9 E-böcker av 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 …
EPUB
Engelska
DRM
€101.47
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
Engelska
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 …
PDF
Engelska
DRM
€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
Engelska
DRM
€57.74