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# Complete Linear Algebra for Data Science & Machine Learning

Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra

## What you’ll learn

• Fundamentals of Linear Algebra and how to ace your Linear Algebra exam
• Basics of matrices (notation, dimensions, types, addressing the entries, etc.)
• Operations on a single matrix, e.g., scalar multiplication, transpose, determinant & adjoint
• Operations on two matrices, including addition, subtraction, and multiplication of matrices
• Performing elementary row operations and finding Echelon Forms (REF & RREF)
• Inverses, including invertible and singular matrices, and the Cofactor method
• Solving systems of linear equations using matrices and inverse matrices, including Cramer’s rule to solve AX = B
• Properties of determinants, and how to perform Gauss-Jordan elimination
• Matrices as vectors, including vector addition and subtraction, Head-to-Tail rule, components, magnitude, and the midpoint of a vector
• Vector spaces, including dimensions, Euclidean spaces, closure properties, and axioms
• Linear combinations and span, spanning set for a vector space and linear dependence
• Subspace and Null-space of a matrix, matrix-vector products
• Basis and standard basis, and checking if a set of given vectors forms the basis for a vector space
• Eigenvalues and Eigenvectors, including how to find Eigenvalues and the corresponding Eigenvectors
• Basic algebra concepts ( as a BONUS)
• And so much more…..

## Requirements

• A passion for learning about Matrices and Vectors
• Ability to perform basic mathematical operations (+, -, x, ÷) on numbers and fractions
• Knowledge of how to solve a linear equation (e.g., find x in 3x-4=11)
• Understanding basic Algebra concepts, e.g., Powers and Roots, simplifying Fractions, Factorization, Solving Equations, and drawing Graphs.
• You only need to know basic Math and Algebrato take this Complete Linear Algebra for Data Science & Machine Learning course.
• And the best thing is, most of the above prerequisite topics are covered inside the Complete Linear Algebra for Data Science & Machine Learning course 🙂

## Description

DO YOU WANT TO LEARN LINEAR ALGEBRA IN AN EASY WAY?

Great!

With 22+ hours of content and 200+ video lessons, this Complete Linear Algebra for Data Science & Machine Learning course covers everything in Linear Algebra, from the start till the end!

Every concept is explained in simple language, and Quizzes and Assignments (with solutions!) help you test your concepts as you proceed.

Whether you’re a student, or a professional, or a Math enthusiast, this Complete Linear Algebra for Data Science & Machine Learning course walks you through the core concepts of Linear Algebra in an easy and fun way!

HERE IS WHAT YOU WILL LEARN:

· Fundamentals of Linear Algebra and how to ace your Linear Algebra exam

· Basics of matrices, including notation, dimensions, types, addressing the entries etc.

· Operations on a single matrix, e.g. scalar multiplication, transpose, determinant, adjoint etc.

· Operations on two matrices, including addition, subtraction and multiplication

· Performing elementary row operations and finding Echelon Forms (REF & RREF)

· Inverses, including invertible and singular matrices, and the Cofactor method

· Solving systems of equations using matrices & inverse matrices, including Cramer’s rule to solve AX = B

· Performing Gauss-Jordan elimination

· Properties of determinants and how to utilize them to gain insights

· Matrices as vectors, including vector addition and subtraction, Head-to-Tail rule, components, magnitude and midpoint of a vector

· Linear combinations of vectors and span

· Vector spaces, including dimensions, Euclidean spaces, closure properties and axioms

· Subspace and Null-space of a matrix, matrix-vector products

· Spanning set for a vector space and linear dependence

· Basis and standard basis, and checking if a set of given vectors forms the basis for a vector space

· Eigenvalues and Eigenvectors, including how to find Eigenvalues and the corresponding Eigenvectors

· Basic algebra concepts (as a BONUS)

· And so much more…..

HERE IS WHAT YOU GET IN THE COURSE:

Video Lessons: Watch over my shoulder as I explain all the Linear Algebra concepts in a simple and easy to understand language. Everything is taught from scratch, and no prior knowledge is assumed.

Solved Examples: Every topic is explained with the help of solved examples, from start to end. This problem-based approach is great, especially for beginners who want to practice their math concepts while learning.

Quizzes: When you think you have understood a concept well, test it by taking the relevant quiz. If you pass, awesome! Otherwise, review the suggested lessons, retake the quiz, or ask for help in the Q/A section.

Assignments: Multiple assignments offer you a chance for additional practice by solving sets of relevant and insightful problems (with solutions provided)

By the end of this Complete Linear Algebra for Data Science & Machine Learning course, you’ll feel confident and comfortable with all the Linear Algebra topics discussed in this Complete Linear Algebra for Data Science & Machine Learning course!

WHY SHOULD YOU LEARN LINEAR ALGEBRA?

· Linear Algebra is a prerequisite for many lucrative careers, including Data Science, Artificial Intelligence, Machine Learning, Financial Math, Data Engineering etc.

· Being proficient in Linear Algebra will open doors for you to many high-in-demand careers

WHY LEARN LINEAR ALGEBRA FROM ME?

I took this Linear Algebra class at the University of Illinois at Urbana Champaign, one of the Top-5 Engineering Schools in the country. I have followed the same standards while designing this Complete Linear Algebra for Data Science & Machine Learning course.

I have taught various Math and Engineering courses for more than 10 years at schools across the US, Asia, and Africa. I strongly believe that I can break down complex concepts into easily understandable chunks of information for you!

I provide premium support for all my students – so if you ever get stuck or have a question, just post it to the Complete Linear Algebra for Data Science & Machine Learning course dashboard and I’ll be there to help you out in a prompt and friendly way!

My goal is to make this the best Linear Algebra and Math course online, and I’ll do anything possible to help you learn.

I thoroughly enjoyed this Complete Linear Algebra for Data Science & Machine Learning course. I needed to understand better, and a good base of Linear Algebra for Data Science and Machine Learning, and Kashif was absolutely delivered. This is definitely a Zero to Hero course on Linear Algebra, in my opinion, and I would highly recommend this to anyone who is on the same path as I am. Nothing but appreciation for this author.” – I. Valderrama

“Wish I had found this earlier” – Dan.

“Great explanations. Solid teaching” – J. P. Baugh

“Excellent course! The Complete Linear Algebra for Data Science & Machine Learning course material is excellent, the explanation is obvious, and every new concept is provided with examples that make the experience even better! The instructor always takes the time to answer questions posted in Q&A. New material is constantly added to the Complete Linear Algebra for Data Science & Machine Learning course. Thank you!” – K. Geagea.

YOU’LL ALSO GET:

· Friendly support in the Q&A section

ENROLL TODAY!

Feel free to check out the Complete Linear Algebra for Data Science & Machine Learning course outline below or watch the free preview lessons. Or go ahead and enroll now.

I can’t wait for you to get started with Linear Algebra.

Cheers,
Kashif

## Who this course is for:

• Students enrolled or planning to enroll in Linear Algebra class and who want to excel in it.
• Professionals who need a refresher in Math, especially Algebra and Linear Algebra
• Engineers, Scientists, and Mathematicians who want to work with Linear Systems and Vector Spaces
• Anyone who wants to master Linear Algebra for Data Science,

Created by Kashif Altaf, A. Zulfiqar
Last updated 8/2020
English
Size: 1.39 GB

`https://www.udemy.com/course/linear-algebra-for-beginners-matrices-and-vector-spaces/`

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