[GigaCourse.com] Udemy - Complete Linear Algebra for Data Science & Machine Learning

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04/14/20 at 4:52pm GMT+1

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Udemy - Complete Linear Algebra for Data Science & Machine Learning

Description

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

Great!

With 22+ hours of content and 200+ video lessons, this course covers everything in Linear Algebra, from 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 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 and 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 course, you'll feel confident and comfortable with all the Linear Algebra topics discussed in this 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 University of Illinois at Urbana Champaign, one of the Top-5 Engineering Schools in the country, and I have tried to follow the same standards while designing this course.

I have taught various Math and Engineering courses for more than 10 years at schools across US, Asia and Africa. I strongly believe that I have the ability to breakdown 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 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.

HERE IS WHAT STUDENTS SAY ABOUT THIS COURSE:

“I thoroughly enjoyed this course. I needed to get a better understanding and a good base of Linear Algebra for Data Science and Machine Learning and Kashif absolutely delivered. This is definitely a Zero to Hero course on Linear Algebra in my opinion, and 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 course material is really good, explanation is really clear and every new concept is provided with examples that make the experience even better! The instructor always takes the time to answer questions poster in Q&A. New material is constantly added to course. Thank you!” – K. Geagea

YOU'LL ALSO GET:

· Lifetime access to “Complete Linear Algebra for Data Science & Machine Learning”

· Friendly support in the Q&A section

· Udemy Certificate of Completion available for download

· 30-day, no-questions-asked, money back guarantee

ENROLL TODAY!

Feel free to check out the 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 ?

Created by Kashif A.
Last updated 2/2020
English

File list

[GigaCourse.com] Udemy - Complete Linear Algebra for Data Science & Machine Learning
01 Welcome and Introduction/001 Welcome and Introduction.mp4 49.1 MB
02 Basics of Matrices/002 Matrices and their Significance - 001.mp4 5.3 MB
02 Basics of Matrices/003 Matrix Notation - 002.mp4 5.7 MB
02 Basics of Matrices/004 Dimension (Order) of a Matrix - 003.mp4 11.2 MB
02 Basics of Matrices/005 Addressing Elements of a Matrix - 004.mp4 11.6 MB
02 Basics of Matrices/006 Solving Linear Systems in 2 Unknowns - 005.mp4 54.5 MB
02 Basics of Matrices/007 Solving Linear Systems in 3 Unknowns - 006.mp4 30.1 MB
03 Basics of Matrices (Continued)/008 IMPORTANT - This section is OPTIONAL.html 1.3 KB
03 Basics of Matrices (Continued)/009 Types of Matrices.mp4 26.6 MB
03 Basics of Matrices (Continued)/010 Addition and Subtraction of Matrices.mp4 28.6 MB
03 Basics of Matrices (Continued)/011 Multiplication of Scalars with Matrices.mp4 8.8 MB
03 Basics of Matrices (Continued)/012 Multiplication of two Matrices.mp4 81.7 MB
03 Basics of Matrices (Continued)/013 Inverse and Determinant of a 2x2 Matrix.mp4 19.6 MB
03 Basics of Matrices (Continued)/014 The Formula Inverse (A) Adjoint (A) Determinant (A).mp4 17.2 MB
03 Basics of Matrices (Continued)/015 EXAMPLE - Inverse of a 2x2 Matrix.mp4 10.1 MB
03 Basics of Matrices (Continued)/016 Using Matrices to Solve Simultaneous Linear Equations.mp4 43.3 MB
03 Basics of Matrices (Continued)/017 EXAMPLE - Using Matrices to Solve Simultaneous Linear Equations.mp4 38.1 MB
03 Basics of Matrices (Continued)/018 CHALLENGE QUESTION - Using Matrices to Solve Simultaneous Linear Equations.mp4 8 MB
03 Basics of Matrices (Continued)/019 SUMMARY.mp4 54.5 MB
04 Matrices and Systems of Linear Equations/020 The Online Matrix Calculator A FREE Tool.mp4 84.1 MB
04 Matrices and Systems of Linear Equations/021 Systems of Linear Equations.mp4 22.4 MB
04 Matrices and Systems of Linear Equations/022 Systems of Linear Equations - Continued.mp4 10.9 MB
04 Matrices and Systems of Linear Equations/023 Elementary Row Operations.mp4 163.2 MB
04 Matrices and Systems of Linear Equations/024 Row Echelon Form (REF).mp4 179.2 MB
04 Matrices and Systems of Linear Equations/025 Reduced Row Echelon Form (RREF).mp4 67.5 MB
04 Matrices and Systems of Linear Equations/026 ASSIGNMENT 1 Matrices and Linear Equations.html 1.1 KB
04 Matrices and Systems of Linear Equations/026 ASSIGNMENT-1-Matrices-and-Linear-Equations-SOLUTION.pdf 445.3 KB
04 Matrices and Systems of Linear Equations/026 ASSIGNMENT-1-Matrices-and-Linear-Equations.pdf 440.4 KB
04 Matrices and Systems of Linear Equations/external-assets-links.txt 81 B
05 Matrix Algebra and Operations/027 Matrix Algebra - Addition and Subtraction.mp4 13.5 MB
05 Matrix Algebra and Operations/028 Matrix Algebra - Scalar Multiplication.mp4 4.6 MB
05 Matrix Algebra and Operations/029 Matrix Algebra - Matrix Multiplication.mp4 33.4 MB
05 Matrix Algebra and Operations/030 Transpose of a Matrix.mp4 18.1 MB
05 Matrix Algebra and Operations/031 ASSIGNMENT 2 Matrix Algebra Operations.html 1.1 KB
05 Matrix Algebra and Operations/031 ASSIGNMENT-2-Matrix-Algebra-Operations-SOLUTION.pdf 365.7 KB
05 Matrix Algebra and Operations/031 ASSIGNMENT-2-Matrix-Algebra-Operations.pdf 361.4 KB
06 Determinant of a Matrix/032 Determinant of a 2x2 Matrix.mp4 29.7 MB
06 Determinant of a Matrix/033 Determinant of a 3x3 Matrix.mp4 69 MB
06 Determinant of a Matrix/034 Finding Determinants Quickly.mp4 8 MB
06 Determinant of a Matrix/035 ASSIGNMENT 3 Computing Determinants.html 1.1 KB
06 Determinant of a Matrix/035 ASSIGNMENT-3-Determinants-SOLUTION.pdf 68 KB
06 Determinant of a Matrix/035 ASSIGNMENT-3-Determinants.pdf 440.2 KB
07 Inverse of a Matrix/036 Inverse exists only for Square Matrices.mp4 15.7 MB
07 Inverse of a Matrix/037 Singular Matrices.mp4 15.5 MB
07 Inverse of a Matrix/038 Importance of Inverse in solving Linear Systems.mp4 32.1 MB
07 Inverse of a Matrix/039 Inverse of a 2x2 Matrix.html 1 KB
07 Inverse of a Matrix/040 Inverse of a 3x3 Matrix - The Two Methods.mp4 13.7 MB
07 Inverse of a Matrix/041 Inverse of a 3x3 Matrix - The Co-factor Method.mp4 65.9 MB
07 Inverse of a Matrix/042 Inverse of a 3x3 Matrix - Gauss-Jordan Elimination Method.mp4.part 69.5 MB
11 Subspace and Nullspace/075 ASSIGNMENT 4 Vector Spaces Subspaces and Null Spaces.html 1.2 KB
14 Basis and Dimension/093 ASSIGNMENT 5 Span Linear Independence and Basis.html 1.2 KB
16 Basic Algebra Concepts (Additional Lessons)/117 COORDINATE GEOMETRY STRAIGHT LINES.html 958 B
16 Basic Algebra Concepts (Additional Lessons)/146 Udemy Supplement LA.html 947 B
16 Basic Algebra Concepts (Additional Lessons)/147 FUNCTIONS GRAPHS TRANSFORMATIONS.html 957 B
17 Congratulations and Bonus Material/210 BONUS Lecture Get Any of Kashifs Courses for Up to 95 Off.html 2.9 KB
Readme.txt 962 B

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