Linear Algebra 2020

Linear Algebra for Data Science & Machine Learning - 2020 eBooks & eLearning

Posted by lucky_aut at Oct. 30, 2020

Linear Algebra for Data Science & Machine Learning - 2020
Duration: 1h 25m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 216 MB
Genre: eLearning | Language: English

Learn Basics of Linear Algebra (Mathematics) for Artificial Intelligence, Machine Learning and Data Science

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Differential Equations and Linear Algebra, Global Edition, 4th Edition eBooks & eLearning

Posted by yoyoloit at Oct. 16, 2021

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A Portrait of Linear Algebra, Fourth edition eBooks & eLearning

Posted by roxul at March 9, 2021

Jude Thaddeus Socrates, "A Portrait of Linear Algebra, Fourth edition"
English | ISBN: 1792430507 | 2020 | 850 pages | PDF | 183 MB

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Linear Algebra Based Controllers: Design and Applications eBooks & eLearning

Posted by AvaxGenius at June 1, 2020

This book summarizes the application of linear algebra-based controllers (LABC) for trajectory tracking for practitioners and students across a range of engineering disciplines. It clarifies the necessary steps to apply this straight-forward technique to a non-linear multivariable system, dealing with continuous or discrete time models, and outline the steps to implement such controllers. In this book, the authors present an approach of the trajectory tracking problem in systems with dead time and in the presence of additive uncertainties and environmental disturbances.

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Hadamard Matrices: Constructions using Number Theory and Linear Algebra eBooks & eLearning

Posted by arundhati at Sept. 4, 2020

Jennifer Seberry, Mieko Yamada, "Hadamard Matrices: Constructions using Number Theory and Linear Algebra"
English | ISBN: 111952024X | 2020 | 352 pages | PDF | 4 MB

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Master Linear Algebra for Data Science & Machine Learning DL (2020) eBooks & eLearning

Posted by ParRus at Dec. 15, 2020

Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills? Then, this course is for you. With the growing learners of Machine Learning, Data Science, and Deep Learning.

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