Linear Algebra and Learning from Data

Gilbert Strang Linear Algebra and Learning from Data Reviews Summary

Ratings Breakdown

5%
2%
1%
10%
82%
Rated 4.6 by 224 people

Pros from Reviews

  • Thorough review of linear algebra
  • Up-to-date list of data analytic topics
  • Chapter on optimization methodology
  • Delightful book from a renowned author
  • Different approach to linear algebra
  • Effective for learning data-based methods
  • Covers basics of linear algebra
  • Includes missing topics from previous book

Cons from Reviews

  • Breadth-not-depth coverage
  • Need for better organization
  • References many other sources
  • Not a good first textbook
  • Material not always well organized
  • Omits or mentions aspects in passing
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