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Linear algebra for data science with Python / John M. Shea.
- Format:
- Book
- Author/Creator:
- Shea, John M. (Professor of electrical engineering), author.
- Series:
- Chapman & Hall/CRC the Python series
- Language:
- English
- Subjects (All):
- Algebras, Linear--Data processing.
- Algebras, Linear.
- Matrices.
- Vector processing (Computer science).
- Python (Computer program language).
- Physical Description:
- 1 online resource : illustrations.
- Place of Publication:
- Boca Raton, FL : CRC Press, Taylor & Francis Group, 2026.
- Contents:
- 1. Introduction. 2. Vectors and Vector Operation. 3. Matrices and Operations. 4. Solving Systems of Linear Equations. 5. Exact and Approximate Data Fitting. 6. Transforming Data.
- Notes:
- "A Chapman & Hall Book."
- Electronic reproduction. London Available via World Wide Web.
- Online resource; title from PDF title page (Taylor & Francis, viewed January 15, 2026)
- ISBN:
- 9781032664088
- 1032664088
- 9781040429716
- 1040429718
- 9781040429563
- 1040429564
- Publisher Number:
- 90103437510
- Access Restriction:
- Restricted for use by site license.
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