Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares [Audiobook] download free by Stephen Boyd

Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares Audiobook download free by Stephen Boyd
  • Listen audiobook: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares
  • Author: Stephen Boyd
  • Release date: 2018/9/20
  • Language: English
  • Genre or Collection: Technology and Engineering
  • ISBN: 9781316518960
  • Rating: 9.22 of 10
  • Votes: 616
  • Review by: Nicolas Underwood
  • Review rating: 9.66 of 10
  • Review Date: 2018/10/28
  • Duration: 5H58M12S in 256 kbps (94.8 MB)
  • Date of creation of the audiobook: 2018-08-02
  • You can listen to this audiobook in formats: MPEG4, MP3, WAV, ATRAC, FLAC, WMA (compression ZIP, TAR.Z, ARC, RAR, Z, LZO)
  • Total pages original book: 474
  • Includes a PDF summary of 40 pages
  • Duration of the summary (audio): 30M21S (8 MB)
  • Description or summary of the audiobook: This groundbreaking textbook combines straightforward explanations with a wealth of practical examples to offer an innovative approach to teaching linear algebra. Requiring no prior knowledge of the subject, it covers the aspects of linear algebra - vectors, matrices, and least squares - that are needed for engineering applications, discussing examples across data science, machine learning and artificial intelligence, signal and image processing, tomography, navigation, control, and finance. The numerous practical exercises throughout allow students to test their understanding and translate their knowledge into solving real-world problems, with lecture slides, additional computational exercises in Julia and MATLAB, and data sets accompanying the book online. It is suitable for both one-semester and one-quarter courses, as well as self-study, this self-contained text provides beginning students with the foundation they need to progress to more advanced study.
  • Other categories, genre or collection: Maths For Engineers, Probability & Statistics, Machine Learning, Pattern Recognition, Engineering: General, Econometrics, Algebra, Optimization
  • Download servers: Microsoft OneDrive, MEGA, Dropbox, FileWhopper, Hotfile. Compressed in ZIP, TAR.Z, ARC, RAR, Z, LZO
  • Format: Hardback
  • Approximate value: 62.57 USD
  • Dimensions: 195x253x25mm
  • Weight: 1,180g
  • Printed by: Not Available
  • Published in: Cambridge, United Kingdom

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