World Scientific Publishing Company Book Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

World Scientific Publishing Company Book Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning

Product Description

This paperback volume covers linear algebra and optimization with applications to machine learning, focusing on concepts relevant to computer vision, robotics, and related ML problems. It is the first volume in a series and comprises 824 pages of structured mathematical content, offering a detailed treatment of foundational topics and their practical use in modern computational contexts. The work presents theoretical developments alongside algorithmic considerations, making it a substantial reference for graduate-level study and advanced coursework in machine learning, computer vision, and robotics.

Product Details
EditionVolume I
FormatPaperback
Pages824
PublisherWorld Scientific Publishing Company
SubjectLinear Algebra, Optimization, Machine Learning
Details
  • Paperback format
  • 824 pages
  • Volume I
Advantages
  • Comprehensive coverage of linear algebra and optimization in ML contexts
  • Links theory to practical applications in computer vision and robotics
  • Useful as a graduate-level reference with substantial depth
Disadvantages
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