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Linear Algebra Tutor

(Matrices, Linear transformations, Vector space, Eigenvalues and Eigenvectors etc)

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Shubhendu M

Student’s Rating 4.96/5

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Knowledge 99%
Speed 96%
Accuracy 94%
  • Linear Algebra

  • Engineering Math

  • Calculus 1,2,3

  • Differential Equations

Vikram S

Student’s Rating 4.93/5

Knowledge 97%
Speed 91%
Accuracy 94%
  • Linear Algebra

  • Engineering Math

  • Calculus 1,2,3

  • Statistics & Probability

Manish A

Student’s Rating 4.92/5

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Knowledge 97%
Speed 91%
Accuracy 94%
  • Linear Algebra

  • Engineering Physics 1,2

  • Calculus 1

  • Computer Science

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Exam preparation help

Linear algebra had always been a pain in my neck. I could understand even multivariable calculus, but I could not understand linear algebra for some reason. I got exam preparation help from tutor Vikram and scored a solid B+. Amazing!

Dana Kazan
University of Colorado

Linear algebra homework help

I had a set of 130 questions in Linear algebra and just 3 days to finish. I had 1 month to solve, but I procrastinated, so I was in a bad situation. My tutor finished this in 2 days, and I got 96% marks. Kudos 👨‍🏫

Columbia University NY

Linear algebra for Python project

I was doing a project on Python, and it required extensive use of Linear algebra, and I had no clue. My tutor helped me learn the basics, and to my surprise, he also knew Python a bit. It helped me finish my project in style.

A Almutairi
Dayton University

Linear Algebra topics

We offer following Linear Algebra tutoring services:

We help with homework on

  • Mastering MyMathLab,
  • WebAssign, WileyPlus, McGraw Hill Connect,
  • Blackboard, Canvas, Moodle etc.

Linear algebra topics

  • Vectors and linear combinations
  • Lengths and dot products
  • Matrices
  • Solving linear equations
  • Rules for matrix operations
  • Inverse Matrices
  • Vector spaces and subspaces
  • Orthogonality
  • Least square approximations
  • Determinants
  • Permutations and cofactors
  • Cramer’s rule, inverses, and volumes
  • Eigenvalues and Eigenvectors
  • The Singular Value Decomposition (SVD)
  • Linear transformations
  • Complex vectors and matrices
  • The fast Fourier transform
  • Numerical linear algebra
  • Linear algebra in probability and statistics
  • Matrix factorizations

How Online Tutoring Works?

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How it Works?

① Book an awesome tutor

 Pay the fee via PayPal    

③ Start getting top grades
View details here

Linear Algebra Tutoring online

Online linear algebra tutoring at My Engineering Buddy

You have reached the best place to learn linear algebra. We have a team of expert online linear algebra tutors to help you understand the theory and applications of the subject. Our experienced virtual private tutorials will help you at a pace that will maximize your understanding of the subject.

The MEB tutors can also help you with offline homework and assignments, exam preparations, grasping problem-solving methods, preparing cheat sheets, and applying linear algebra in other disciplines. These 1-on-1 sessions are beneficial for students who learn much more efficiently in an interactive and focused environment compared to a regular classroom set-up.

What is linear algebra?

Linear algebra is a discipline of mathematics dealing with vectors and their spaces, matrices and, linear transformations. It is the systematic theory to solve systems of linear equations with finite unknown variables. An important concept is ‘span,’ the space covering linear combinations of a set of given vectors.

Applications of linear algebra

Linear algebra is a relatively young stream of math that has broad applications, from modern algebra and mathematical physics to machine learning and data science. Academically, we extensively use it in many areas of mathematics, including probability theory, differential equations, and multivariate calculus and fields like economics, physics, chemistry, engineering, and psychology. Linear Algebra is in action whenever we perform an Internet search or use Global Positioning System (GPS).

How is linear algebra used in machine learning?

Linear algebra is the most critical maths skill for machine learning. It is directly and indirectly used in machine learning. For example, SVD and Eigenvectors are requisite topics for machine learning students and professionals. Linear algebra is also involved in other areas of math that are, in turn, helps in machine learning. Matrices effectively represent many machine learning models and datasets.

What is linear algebra in data science?

Linear algebra is foundational for both beginners and seasoned practitioners of data science. Data preprocessing and transformation and model evaluation are dependent on linear algebra. Vectors and matrices are mathematically suited to represent large volumes of information.

Where do I get free tutoring on linear algebra?

Free 1:1 tutoring is not possible anywhere but if you want to learn by watching some prerecorded videos then you can use Khan Academy.

Textbooks for linear algebra reference

  • Introduction to Linear Algebra by Gilbert Strang. Publisher: Wellesley-Cambridge Press
  • Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares by Stephen Boyd. Publisher: Cambridge University Press
  • Linear Algebra by Stephen Friedberg, Arnold Insel, Lawrence Spence. Publisher: Pearson
  • Linear Algebra Done Right (Undergraduate Texts in Mathematics) by Sheldon Axler. Publisher: Springer
  • Linear Algebra and Learning from Data by Gilbert Strang. Publisher: Wellesley-Cambridge Press
  • Differential Equations and Linear Algebra by Gilbert Strang. Publisher: Wellesley-Cambridge
  • Linear Algebra and Optimization for Machine Learning: A Textbook by Charu C. Aggarwal. Publisher: Springer