実数の線型代数と解析学 Minimum: 機械学習理論の理解のために (Japanese Edition)
by 高岡 佑
実数の線型代数と解析学 Minimum is a concise guide to linear algebra and analysis over real numbers, designed specifically to support comprehension of machine learning theory. This Japanese edition by Takao Yu delivers essential concepts in an accessible format, bridging pure mathematics with applied computational fields for targeted learning.
About This Book
This Japanese edition explores linear algebra and analysis in the context of real numbers, focusing on the minimum essentials needed for grasping machine learning theory.
Authored by Takao Yu, it serves as a foundational resource for readers interested in the mathematical underpinnings of machine learning.
The content is structured to build core concepts efficiently, emphasizing practical relevance to theoretical aspects of machine learning.
Ideal for students and professionals seeking a targeted mathematical toolkit without unnecessary depth.
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