Mathematical Foundations of Machine Learning
Essential Linear Algebra and Calculus HandsOn in NumPy, TensorFlow, and PyTorch
Created by Dr Jon Krohn  Chief Data Scientist and #1 Bestselling Author
Students: 81284, Price: $99.99
Students: 81284, Price: Paid
To be a good data scientist, you need to know how to use machine learning libraries such as Scikitlearn, TensorFlow, and PyTorch to solve whatever problem you have at hand.
To be an excellent data scientist, you need to know how those libraries and algorithms work under the hood. This is where our Mathematical Foundations of Machine Learning comes in.
Led by deep learning guru Dr. Jon Krohn, this course provides a firm grasp of the mathematics — namely the linear algebra and calculus — that underlies machine learning algorithms and data science models.
The course is broken down into the following sections:

Linear Algebra Data Structures

Tensor Operations

Matrix Properties

Eigenvectors and Eigenvalues

Matrix Operations for Machine Learning

Limits

Derivatives and Differentiation

Automatic Differentiation
We have finished filming additional content on calculus (Sections 9 and 10), which will be edited and uploaded in the summer of 2021. At that point, the Mathematical Foundations of Machine Learning course could be considered complete, but we will continue adding related bonus content — on probability, statistics, data structures, and optimization — as quickly as we can. Enrollment now includes free, unlimited access to all of this future course content — over 25 hours in total.
Throughout each of the sections, you'll find plenty of handson assignments, Python code demos, and practical exercises to get your math game in top form!
Are you ready to become an outstanding data scientist? See you in the classroom.
Course Prerequisites
Programming: All code demos will be in Python so experience with it or another objectoriented programming language would be helpful for following along with the code examples.
Mathematics: Familiarity with secondary schoollevel mathematics will make the class easier to follow along with. If you are comfortable dealing with quantitative information — such as understanding charts and rearranging simple equations — then you should be wellprepared to follow along with all of the mathematics.
Math is Everywhere: Applications of Finite Math
Computer fonts, Angry Birds, March Madness, and Google  sound like fun? Indeed, math influences the world around us.
Created by Tim Chartier  Associate Professor of Mathematics  Davidson College
Students: 56742, Price: Free
Students: 56742, Price: Free
A Faculty Project Course  Best Professors Teaching the World
Computer fonts, Angry Birds, March Madness, and Google — sound like fun? Indeed, finite math is engaging and influences the world around us.
Equations of lines can allow computers to create fonts, store them quite compactly, and render them at essentially any desired resolution. Plotting the graph of a polynomial can affect how you play Angry Birds as you strive to dislodge the pesky pigs. Linear systems model the performance of sports teams and influence which college football teams play in the new year bowl games. You can create your own linear equations to help you create a bracket for March Madness. Finally, probability and simulation lies at the core of the mathematical algorithm that catapulted Google as a leader in search engines.
You benefit from applications of finite math every day. Through this course, you can better understand how you benefit from applications of finite math in your every day life. Along the way, you will likely learn new mathematical ideas, too.
R, ggplot, and Simple Linear Regression
Begin to use R and ggplot while learning the basics of linear regression
Created by Charles Redmond  Professor at Mercyhurst University
Students: 38675, Price: Free
Students: 38675, Price: Free
Data science skills are in much demand today, but it is not just the mathematicians, statisticians, and the computer scientists who can benefit from acquiring them. Data science skills are for everyone!
In this course, I help you to begin using R, one of the most important tools in data science, and the excellent graphics package for R, ggplot2. Along the way, I also show you the basics of simple linear regression.
There are no prerequisites. We begin with installation of R and RStudio, and I introduce R and ggplot skills as they are needed as we progress toward an understanding of linear regression.
Students should be able to complete the course within two weeks, working at an easy pace.
Linear regression is a machine learning technique. I hope to create more courses like this one in the future, teaching machine learning, R, ggplot, dplyr, and programming, all at the same time.
A mathematical way to think about biology
Why "is" biology lognormal? Why do some circuits oscillate? See biology from a physical sciences perspective.
Created by David Liao  Physicist (PhD, Princeton 2010)
Students: 25799, Price: Free
Students: 25799, Price: Free
A mathematical way to think about biology comes to life in this lavishly illustrated video book. After completing these videos, students will be better prepared to collaborate in physical sciencesbiology research. These lessons demonstrate a physical sciences perspective: training intuition by deriving equations from graphical illustrations.
"Excellent site for both basic and advanced lessons on applying mathematics to biology."
Tweeted by the U.S. National Cancer Institute's Office of Physical Sciences Oncology
Complete linear algebra: theory and implementation in code
Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.
Created by Mike X Cohen  Neuroscientist, writer, professor
Students: 20884, Price: $19.99
Students: 20884, Price: Paid
You need to learn linear algebra!
Linear algebra is perhaps the most important branch of mathematics for computational sciences, including machine learning, AI, data science, statistics, simulations, computer graphics, multivariate analyses, matrix decompositions, signal processing, and so on.
You need to know applied linear algebra, not just abstract linear algebra!
The way linear algebra is presented in 30yearold textbooks is different from how professionals use linear algebra in computers to solve realworld applications in machine learning, data science, statistics, and signal processing. For example, the "determinant" of a matrix is important for linear algebra theory, but should you actually use the determinant in practical applications? The answer may surprise you, and it's in this course!
If you are interested in learning the mathematical concepts linear algebra and matrix analysis, but also want to apply those concepts to data analyses on computers (e.g., statistics or signal processing), then this course is for you! You'll see all the maths concepts implemented in MATLAB and in Python.
Unique aspects of this course

Clear and comprehensible explanations of concepts and theories in linear algebra.

Several distinct explanations of the same ideas, which is a proven technique for learning.

Visualization using graphs, numbers, and spaces that strengthens the geometric intuition of linear algebra.

Implementations in MATLAB and Python. Com'on, in the real world, you never solve math problems by hand! You need to know how to implement math in software!

Beginning to intermediate topics, including vectors, matrix multiplications, leastsquares projections, eigendecomposition, and singularvalue decomposition.

Strong focus on modern applicationsoriented aspects of linear algebra and matrix analysis.

Intuitive visual explanations of diagonalization, eigenvalues and eigenvectors, and singular value decomposition.

Improve your coding skills! You do need to have a little bit of coding experience for this course (I do not teach elementary Python or MATLAB), but you will definitely improve your scientific and data analysis programming skills in this course. Everything is explained in MATLAB and in Python (mostly using numpy and matplotlib; also sympy and scipy and some other relevant toolboxes).
Benefits of learning linear algebra

Understand statistics including leastsquares, regression, and multivariate analyses.

Improve mathematical simulations in engineering, computational biology, finance, and physics.

Understand data compression and dimensionreduction (PCA, SVD, eigendecomposition).

Understand the math underlying machine learning and linear classification algorithms.

Deeper knowledge of signal processing methods, particularly filtering and multivariate subspace methods.

Explore the link between linear algebra, matrices, and geometry.

Gain more experience implementing math and understanding machinelearning concepts in Python and MATLAB.

Linear algebra is a prerequisite of machine learning and artificial intelligence (A.I.).
Why I am qualified to teach this course:
I have been using linear algebra extensively in my research and teaching (in MATLAB and Python) for many years. I have written several textbooks about data analysis, programming, and statistics, that rely extensively on concepts in linear algebra.
So what are you waiting for??
Watch the course introductory video and free sample videos to learn more about the contents of this course and about my teaching style. If you are unsure if this course is right for you and want to learn more, feel free to contact with me questions before you sign up.
I hope to see you soon in the course!
Mike
Algebra Boot Camp – Master The Fundamentals of Algebra!
If you hate Math, or think you can't do it, take this course!
Created by John Swokowski  High School Math Teacher
Students: 20618, Price: Free
Students: 20618, Price: Free
If you feel that you do not like Algebra and think that you are not very good at it, then this course is for you! There are many reasons why you feel this way, but I can assure you that it has nothing to do with your intelligence.
Learn to speak the language
You see, languages are hard to learn, and Algebra is a language. It is a symbolic language! It uses symbols that stand for things, and if you do not understand what the symbols mean, then you cannot speak or understand the language.
When you complete my course, you will have an understanding of all of the most widely used symbols that you will encounter in any Algebra course. Being able to speak the symbolic language of Algebra will give you the confidence and the ability to learn.
Get involved in your learning
I will walk you through each topic carefully and will give you the opportunity to practice each of the tasks with downloadable worksheets designed to focus only on the idea that is being discussed. You cannot learn by watching something, or just listening to a lecture. I watch a lot of basketball on TV, but that doesn’t make me a better basketball player!
All you need is desire
I’ve been a Algebra Teacher in the city of Milwaukee for over 35 years. I’ve never come across a student that couldn’t learn if they wanted to learn. That is all you really need! I hope to see you in my class soon!
Become a Linear Algebra Master
Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions
Created by Krista King  Your geeky, trusty math tutor
Students: 18637, Price: $129.99
Students: 18637, Price: Paid
HOW BECOME A LINEAR ALGEBRA MASTER IS SET UP TO MAKE COMPLICATED MATH EASY:
This 247lesson course includes video and text explanations of everything from Linear Algebra, and it includes 69 quizzes (with solutions!) and an additional 12 workbooks with extra practice problems, to help you test your understanding along the way. Become a Linear Algebra Master is organized into the following sections:

Operations on one matrix, including solving linear systems, and GaussJordan elimination

Operations on two matrices, including matrix multiplication and elimination matrices

Matrices as vectors, including linear combinations and span, linear independence, and subspaces

Dot products and cross products, including the CauchySchwarz and vector triangle inequalities

Matrixvector products, including the null and column spaces, and solving Ax=b

Transformations, including linear transformations, projections, and composition of transformations

Inverses, including invertible and singular matrices, and solving systems with inverse matrices

Determinants, including upper and lower triangular matrices, and Cramer's rule

Transposes, including their determinants, and the null (left null) and column (row) spaces of the transpose

Orthogonality and change of basis, including orthogonal complements, projections onto a subspace, least squares, and changing the basis

Orthonormal bases and GramSchmidt, including definition of the orthonormal basis, and converting to an orthonormal basis with the GramSchmidt process

Eigenvalues and Eigenvectors, including finding eigenvalues and their associate eigenvectors and eigenspaces, and eigen in three dimensions
AND HERE'S WHAT YOU GET INSIDE OF EVERY SECTION:
Videos: Watch over my shoulder as I solve problems for every single math issue you’ll encounter in class. We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.
Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.
Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great! If not, you can review the videos and notes again or ask for help in the Q&A section.
Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they're a great way to solidify what you just learned in that section.
HERE'S WHAT SOME STUDENTS OF BECOME A LINEAR ALGEBRA MASTER HAVE TOLD ME:

“Another fantastic course. Provides an academic foundation of linear algebra to prepare for applied or programmingbased courses.”  Christopher C.

“I have no words to thank Krista for this amazing course, I was really overwhelmed because I had to take a test for a class I couldn't attend and I didn't know anything about linear algebra and surprisingly this course was what I needed, reading the notes before watching the video helped to understand by myself and when I was lost the video content was a great resource, I got a 9 out of 10 in the test, so I highly recommend to take this course, Krista is such a good teacher.”  Alan M.

“I started out as a math major in college, and dropped my major during linear algebra. I wish I had this class and this instructor in college. I might have stuck with my major.”  Eric L.

“Notes are great, explanations are clear and starting from the beginning. Terrific so far.”  Phil T.

“Very clear and has not skipped any steps. If the rest of the course is like this, I will pass my class with no problem.”  Brandon P.

“Really well structured and well explained, and there are plenty of exercises to reinforce the knowledge.”  Ashfaque C.
YOU'LL ALSO GET:

Lifetime access to Become a Linear Algebra Master

Friendly support in the Q&A section

Udemy Certificate of Completion available for download

30day money back guarantee
Enroll today!
I can't wait for you to get started on mastering Linear Algebra.
 Krista :)
Python for linear algebra (for absolute beginners)
Dip your feet into the amazing world of using Python code to understand vectors and matrices.
Created by Mike X Cohen  Neuroscientist, writer, professor
Students: 8476, Price: Free
Students: 8476, Price: Free
This course provides an introduction to using Python to learn linear algebra. It is designed for people who have no (or little) previous exposure to Python or to linear algebra.
What is linear algebra?
Linear algebra is the branch of mathematics that deals with vectors and matrices. A vector is a list of numbers, and a matrix is a spreadsheet of numbers.
That sounds really simple, but linear algebra is at the heart of nearly all applied mathematics, including statistics, machine learning, AI, deep learning, image processing, telecommunications, video games, computer graphics, biomedical signal processing, and the list goes on and on...
Why use Python to learn linear algebra?
Many people find math difficult but coding easier. You will be amazed at how much better you can learn math by using Python as a tool.
What will you learn in this course?
You will learn the basics of getting started with using Python and with using Python to learn mathematics. You'll see an overview of the major topics in linear algebra, although I do not go into a lot of depth on any particular topic.
By the end of this course, you will know enough to decide whether you want to learn more about Python and math.
What do you need to know before enrolling?
Well, you need to know how to use a computer. But you don't need to know anything about computer programming or linear algebra. The only thing you really *need* for this course is the willingness to dedicate 23 hours of your time to learning something new.
What do you have to lose?
The entire course takes 23 hours to complete (2 hours of video content, and about an hour to complete the practice problems). This is a great way to see whether you want to continue studying Python for math and linear algebra. And if you decide that this isn't right for you, then you only spent a few hours on it, rather than investing in tens of hours and money. Really, you have nothing to lose!
Who is your instructor?
I have been teaching data analysis, scientific programming, statistics, and signal processing for almost 20 years. I have several bestseller courses here on Udemy and my courses have well over 10,000 highranked reviews (don't believe me  check out the reviews on this and my other courses!). I take online teaching seriously (although I let a few jokes slip through now and then...), and I remain actively involved in making sure my courses are high quality and uptodate.
Numerical Computations in MATLAB
Including Root Finding, Linear Algebra, Curve Fitting, Numerical Integration, Differential Equations and Optimization
Created by Yarpiz Team  Academic Education and Research Group
Students: 6206, Price: Free
Students: 6206, Price: Free
In this course, the builtin capabilities of MATLAB are used to perform numerical computations, which are very useful in enormous fields of applied science and engineering, including:

Root finding and equation solving

Solving system of equations

Eigenvalues, eigenvectors and eigendecomposition

Singular Value Decomposition

Interpolation, curve fitting and surface modeling

Numerical integration and differentiation

Working with polynomials

Solving Ordinary Differential Equations (ODEs)

Solving Boundary Value Problems (BVPs)

Solving Delayed Differential Equations (DDEs)

Linear Programming (LP)

MixedInteger Linear Programming (MILP)

Quadratic Programming (QP)

Constrained and unconstrained nonlinear optimization
Master Linear Algebra 2020: The Complete Study Of Spaces
Learn How to Define Space And How it is Characterized And Measured. We Make Linear Algebra Math Fun And Easy.
Created by Kody Amour  University Professor  I Teach 50,000 Students In 8 Courses
Students: 5967, Price: $19.99
Students: 5967, Price: Paid
Have you ever wanted to fully understand the fourth dimension? How about the fifth? How about a space that is infinite dimensional? This is likely the most applicable mathematics course ever. We cover in depth everything about dots, lines, planes, spaces, and whatever is beyond that. We detail special functions on them and redefine everything that you have ever learned. Prepare to have your mind blown!
Master and Learn Everything Involving Spaces
 Vector Spaces
 Linear Transformations
 How to Measure Space
 Definition of a Right Angle (The Real One)
 InnerProduct Spaces
 Eigenvalues and Eigenvectors
Linear Algebra Can Be Easy. Start Your Course Today!
This course includes everything that a university level linear algebra course has to offer *guaranteed*. This course is great to take before or during your linear algebra course. The book isn't enough  trust me. You will succeed with these lectures. It's hard to believe that such a difficult class can be made simple and fun, but I promise that it will be. This is a topic that is widely used with everyone, and can be understood. The reason that I succeeded in my linear algebra course is because I had a great professor, and you deserve one too! So what are you waiting for?
Join today!
Learn Algebra The Easy Way!
Algebra Review  Slope, Graphing Linear Equations, Exponents, Factoring, Solving Quadratic Equations, & Radicals
Created by Julio Gonzalez  Math & Science Teacher
Students: 5775, Price: $139.99
Students: 5775, Price: Paid
This course is designed for university students taking intermediate algebra and college algebra and high school students taking algebra 1, algebra 2, or algebra 3.
Here is a list of topics covered in this course:
1. Basic Arithmetic  Addition, Subtraction, Multiplication, and Division
2. Fractions Review
3. Solving Linear Equations
4. Order of Operations
5. Absolute Value Functions & Inequalities
6. Graphing Linear Equations Using Slope & The YIntercept
7. Polynomials
8. Factoring
9. Systems of Linear Equations
10. Quadratic Equations
11. Rational Expressions
12. Radical Expressions
13. Complex Imaginary Numbers
14. Exponential and Logarithmic Functions
15. Functions
16. Conic Sections
17. Arithmetic and Geometric Sequences
College Level Advanced Linear Algebra! Theory & Programming!
Linear Algebra (matlab  python) & Matrix Calculus For Machine Learning, Robotics, Computer Graphics, Control, & more !
Created by Ahmed Fathy, MSc  MSc, Deep learning scientist @ Affectiva & Udemy Instructor
Students: 5479, Price: $119.99
Students: 5479, Price: Paid
From Matrix Calculus, To Robotics! From Control Systems, To Computer Graphics! From the Singular Value Decompositions to the Principal Component Analysis. From Systems Of Linear Equations, To Systems Of Differential Equations. From Inverses, to Pseudo Inverses. From Determinants, to positive definiteness. From Concepts To Programming. From Matlab To Python. From Proofs to Visualizations & From Theory to Applications. From Solved Examples To thoughtful Exams, and From Many Other Things to Many other things,
I, Present This Course !
My Name is Ahmed Fathy, currently a machine learning scientist at Affectiva, and a university teacher previously. Over the years, I happened to teach many subjects that make a very deep use of linear algebra. Those include Machine Learning and Deep Learning, Computer Graphics, Control Systems, Game Development, and even Pure Linear Algebra. Every one of those subjects handled linear algebra from very different perspectives. In this course, I provide them all.
This course is intended to be a Reference on linear algebra in the world of online courses, having proofs, theories, programming, concepts, applications, solved examples, visualizations, and everything ! Any suggestions for more topics to add are always welcome. Since the course contents are so large and extensive, I will not summarize them here. Instead, I ask you to please watch the promo video & also have a look on the course contents towards the bottom of the page. Have a nice day !
A Guide to Algebra 1
From solving systems of linear equations to factoring polynomials, this course will help you ace your tests in school!
Created by Rohit Narayanan  Head of GradeSupport.org  Student at Princeton University
Students: 5419, Price: Free
Students: 5419, Price: Free
Algebra 1 is the base of math. It is where students stop solely learning about basic operations. In Algebra 1, students learn how to handle variables, an aspect of math which makes it applicable to many parts of the world. Algebra is the one of the reasons why people say math is everywhere in the world. Whether it be solving for the tax on a bill or finding out how long it takes to get to a certain place, Algebra is key.
I have designed this course based on the structure of a the Common Core Algebra 1 textbook. I will cover everything from evaluating expressions with negative numbers to solving systems of equations. Certain chapters will be longer than others but as a general range, a chapter's worth of content will range from 40 minutes to 1 hour.
Linear Algebra for Beginners: Open Doors to Great Careers
Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!
Created by Richard Han  PhD in Mathematics
Students: 4554, Price: $19.99
Students: 4554, Price: Paid

The prerequisite to the course Linear Algebra for Beginners: Open Doors to Great Careers 2.

Would you like to learn a mathematics subject that is crucial for many highdemand lucrative career fields such as:
 Computer Science
 Data Science
 Actuarial Science
 Financial Mathematics
 Cryptography
 Engineering
 Computer Graphics
 Economics
If you're looking to gain a solid foundation in Linear Algebra, allowing you to study on your own schedule at a fraction of the cost it would take at a traditional university, to further your career goals, this online course is for you. If you're a working professional needing a refresher on linear algebra or a complete beginner who needs to learn Linear Algebra for the first time, this online course is for you.
Why you should take this online course: You need to refresh your knowledge of linear algebra for your career to earn a higher salary. You need to learn linear algebra because it is a required mathematical subject for your chosen career field such as computer science or electrical engineering. You intend to pursue a masters degree or PhD, and linear algebra is a required or recommended subject.
Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience: 6 years as a teaching assistant at University of California, Riverside, over two years as a faculty member at Western Governors University, #1 in secondary education by the National Council on Teacher Quality, and as a faculty member at Trident University International.
In this course, I cover the core concepts such as:
 Gaussian elimination
 Vectors
 Matrix Algebra
 Determinants
 Vector Spaces
 Subspaces
After taking this course, you will feel CAREFREE AND CONFIDENT. I will break it all down into bitesized nobrainer chunks. I explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with.
Practice problems are provided for you, and detailed solutions are also provided to check your understanding.
30 day full refund if not satisfied.
Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We're waiting for your insights and questions! Enroll now!
Complete Linear Algebra for Data Science & Machine Learning
Linear Algebra for Data Science, Big Data, Machine Learning, Engineering & Computer Science. Master Linear Algebra
Created by Kashif A.  Bestselling Instructor
Students: 3452, Price: $119.99
Students: 3452, Price: Paid
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 GaussJordan elimination
· Properties of determinants and how to utilize them to gain insights
· Matrices as vectors, including vector addition and subtraction, HeadtoTail 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 Nullspace of a matrix, matrixvector 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 problembased 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 highindemand careers
WHY LEARN LINEAR ALGEBRA FROM ME?
I took this Linear Algebra class at University of Illinois at Urbana Champaign, one of the Top5 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
· 30day, noquestionsasked, 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.
Cheers,
Kashif
Mathematics Linear Algebra for Machine Learning Data Science
Master the Complete linear algebra  Mathematics for data science, machine learning & Deep Learning  Practical exercise
Created by Manifold AI Learning ®  Learn the Future  Data Science, Machine Learning & AI
Students: 3077, Price: $109.99
Students: 3077, Price: Paid
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.
The Common mistake by a data scientist is→ Applying the tools without the intuition of how it works and behaves.
Having the solid foundation of mathematics will help you to understand how each algorithm work, its limitations and its underlying assumptions.
With this, you will have an edge over your peers and makes you more confident in all the applications of Machine Learning, Data Science, and Deep Learning.
As a common saying:
It always pays to know the machinery under the hood, rather than being a guy who is just behind the wheel with no knowledge about the car.
Linear Algebra is one of the areas where everyone agrees to be a starting point in the learning curve of Machine Learning, Data Science, and Deep Learning.. Its basic elements – Vectors and Matrices are where we store our data for input as well as output.
Any operation or Processing involving storing and processing the huge number of data in Machine Learning, Data Science, and Artificial intelligence, would mostly use Linear Algebra in the backend.
Even Deep Learning and Neural Networks  Employs the Matrices to store the inputs like image, text etc. to give the state of the art solution to complex problems.
Keeping in mind the significance of Linear Algebra in a Data Science career, we have tailormade this curriculum such that you will be able to build a strong intuition on the concepts in Linear Algebra without being lost inside the complex mathematics.
At the end of this course, you will also learn, how the Famous Google PageRank Algorithm works, using the concepts of Linear Algebra which we will be learning in this course.
In this course. you will not only learn analytically, but you will also see its working by running in Python as well.
So, with this course, you will learn, build intuition, and apply to some of the interesting realworld applications.
Click on the Enroll Button to start Learning.
I look forward to seeing you in Lecture 1
GAME OF MATRICES : A Crash course on Linear Algebra
Learning Linear Algebra for Competitive Exams
Created by Ravi Kiran  Engineer/Instructor at The Engineer's Gurukulam
Students: 2497, Price: $29.99
Students: 2497, Price: Paid
The course covers concepts of Linear Algebra essential for a student of engineering background, The basics of matrices  determinant and its properties, inverse of matrix etc are explained in section 1. Once student is familiarized with basics, Concept  System of Equations is explained. Finally the Eigen values and vectors and LU decomposition are explained.
14 problems of different model each are covered for benefit of students involving almost all the concepts of matrices covered in the course.
Linear Algebra for Beginners: Open Doors to Great Careers 2
Learn the core topics of Linear Algebra to open doors to Computer Science, Data Science, Actuarial Science, and more!
Created by Richard Han  PhD in Mathematics
Students: 2049, Price: $19.99
Students: 2049, Price: Paid

The sequel to the course Linear Algebra for Beginners: Open Doors to Great Careers.

Would you like to learn a mathematics subject that is crucial for many highdemand lucrative career fields such as:
 Computer Science
 Data Science
 Actuarial Science
 Financial Mathematics
 Cryptography
 Engineering
 Computer Graphics
 Economics
If you're looking to gain a solid foundation in Linear Algebra, allowing you to study on your own schedule at a fraction of the cost it would take at a traditional university, to further your career goals, this online course is for you. If you're a working professional needing a refresher on linear algebra or a complete beginner who needs to learn Linear Algebra for the first time, this online course is for you.
Why you should take this online course: You need to refresh your knowledge of linear algebra for your career to earn a higher salary. You need to learn linear algebra because it is a required mathematical subject for your chosen career field such as computer science or electrical engineering. You intend to pursue a masters degree or PhD, and linear algebra is a required or recommended subject.
Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have extensive teaching experience: 6 years as a teaching assistant at University of California, Riverside, over two years as a faculty member at Western Governors University, #1 in secondary education by the National Council on Teacher Quality, and as a faculty member at Trident University International.
In this course, I cover the core concepts such as:
 Inner Product Spaces
 Linear Transformations
 Eigenvalues and Eigenvectors
 Symmetric Matrices and Orthogonal Diagonalization
 Quadratic Forms
 Singular Value Decomposition
After taking this course, you will feel CAREFREE AND CONFIDENT. I will break it all down into bitesized nobrainer chunks. I explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with.
Practice problems are provided for you, and detailed solutions are also provided to check your understanding.
30 day full refund if not satisfied.
Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We're waiting for your insights and questions! Enroll now!
A First Course in Abstract Algebra: Group Theory,Ring Theory
For Group Theory, Linear Algebra, Discrete Mathematics, Cryptography, Real and Complex Analysis, Topology Students
Created by Math Kishore Reddy  Math Instructor
Students: 1545, Price: $89.99
Students: 1545, Price: Paid
This course comes with a 30 day money back guarantee! If you are not satisfied in any way, you'll get your money back. Plus you will keep access to the Notebooks as a thank you for trying out the course.
MY DEAR STUDENTS,
Are you struggling with Abstract Algebra?
Not understanding Group Theory?
Are you feeling it hard ?
Or do you want to get good score in Abstract Algebra?
Then enroll today in this course.
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HERE IS WHAT SOME STUDENTS OF THIS COURSE HAVE TOLD ME:
"Nice explanation...and easy to understand the concepts"  SURYA
"Super its very useful my further studies thank you sir for giving a valuable information please upload new courses"  SAI
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You will get lifetime access to all lectures of this course .
You can learn from those lectures at anytime and anywhere.
This course includes quizzes and downloadble resources.

And I updated the course(MAY  2021) : New Video lectures are added. And also more videos will be uploaded soon.
Abstract Algebra  Group Theory  Ring Theory
Download Abstract Algebra PDF Book. It helps to understand Group Theory, Linear Algebra, Discrete Mathematics.
Dear students,
Algebra is a university level Math topic and interesting topic.
Key Point: Set theory plays play key role to understand abstract algebra.
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In this course, you will find the lessons on Abstract Algebra  Group Theory and Ring Theory
Are you ready to learn these?
In this Abstract Algebra course, we will discuss the following topics:
1. Abstract Algebra  Group theory:
Very Important topics are:

Definition of Binary Operation,

Definition of Group,

Definition of subgroup with example,

Definition of order of the group and order other element in a group,

Definition of commutative Group.

Fundamental theorem of Homomorphism,

Normal Sub Group,

Cosets,

Cyclic Group,

Permutation group
2. Abstract Algebra  Ring Theory:

What is Ring?

What does it mean by Ring with Unity?

What is Commutative Ring?

Definition of Ring with Zero Divisors

What is Division Ring or Skew Field?

What is Field?
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***Mathematics in my point of view: "Mathematics/ Math: Math is a simply a language. In School grade/Classes, covered Algebra, Trigonometry, Geometry, and Pre calculus. In College, covered Algebra 2,College Algebra, Probability, Statistics, Calculus: Calculus 1,Calculus 2,Calculus 3(Multivariable Calculus like Differential Equations, Engineering Mathematics), And University Math topics are Abstract Algebra, Linear Algebra, Discrete Mathematics, Number Theory, Real Analysis, Complex Analysis, Functional Analysis, Matlab. In Test Prep: SAT, Act, GRE,GMAT,LSAT are with Quantitative Aptitude Section. Application of Math: Engineering, Physics, Science, Computer sciences like in Games development, Programming, Machine learning, Data science".***
Udemy is great platform to learn.
Please, enroll today!
Abstract Algebra  Group Theory  Ring Theory
Download Abstract Algebra PDF Book. It helps to understand Group Theory, Linear Algebra, Discrete Mathematics.
You'll Also Get:
✔ Lifetime Access to course updates
✔ Fast & Friendly Support in the Q&A section
✔ Udemy Certificate of Completion Ready for Download
Lets Begin Abstract Algebra Now
Have a great day
Thank you for your great support.
Kishore Reddy
Data Science Crash Course
Your very first course in Data Science
Created by Przemek Chojecki  PhD in mathematics, AI entrepreneur, Forbes 30 under 30
Students: 1469, Price: Free
Students: 1469, Price: Free
** The fastest course to teach you about fundamentals of Data Science **
Welcome to Data Science Crash Course, where through 1 hours of videos, a complete set of lecture notes and additional texts you'll be able to get what Data Science is about.
You will be able to run Python on your laptop and perform simple Data Science experiments.
You will understand a difference between supervised and unsupervised learning, classification and clustering and basic methods for them:

KNN, Decision Trees, Linear Regression, Neural Networks

kmeans, DBSCAN
We will talk about Keras and Tensorflow, as well as about visualizing your data using matplotlib and Dash.
Mathematics Linear Algebra
Math Intermediate Algebra
Created by Rudy M. Roda  All my student will be achieving success through my courses.
Students: 1105, Price: $89.99
Students: 1105, Price: Paid
We teach math to help a lot of students who have a small problem, perhaps because the teacher is going too fast or the students just need help. We teach in more detail so that students can understand more easily. We focus our efforts on more for students to improve his grade by following our courses.
Linear Algebra For Absolute Beginners
Learn Linear Algebra right from the basics with intuitive graphics and examples
Created by Gurpreetsingh Bhatia  Programmer at Accenture Solutions Pvt. Ltd.
Students: 1099, Price: $19.99
Students: 1099, Price: Paid
Linear Algebra for absolute beginners. This course is focused on Matrix and its Properties and Operations.
This Linear Algebra course is thoughtfully structured and organized. Also I have used animations to make things intuitive wherever possible. The topics covered are

Introduction to Matrix

Properties of Matrix

Matrix Addition/Subtraction

Matrix Multiplication

Inverse and Adjoint of Matrix

System of Linear Equations

Equation Consistency

Rank of Matrix

Eigen Vectors and Eigen Values

Matrix Transformations

Quizzes
At the end of this course you will be able to understand matrix and all of its operations.
Also, feel free to ask me the questions and doubts anytime. I would be glad to help you out.
Linear Algebra
Learn and master fundamentals of Linear Algebra
Created by Yogesh Prabhu  online entrepreneur, Passionate teacher for 15yrs &counting!
Students: 1068, Price: $89.99
Students: 1068, Price: Paid
In this course I have covered all the basics and some advance topics of Linear Algebra.
Strong fundamentals of Linear Algebra is essential for anyone who wants to learn advance engineering topics like machine learning, Artificial Intelligence etc.
All concepts are presented in easy to understand way, with illustrative problems
In this course, my efforts have been to make it as precise as possible.
Happy learning!
Basic Algebra
equations, graphs and solving expressions using the order of operations
Created by Verna Phillips  Math Professor
Students: 1061, Price: Free
Students: 1061, Price: Free
This is a course using the order of operations, types of numbers (which are counting numbers, whole numbers, integers, rational numbers, irrational numbers and real numbers). solving quadratic and linear equations, solving quadratic and linear inequalities, solving a system of equations, adding and multiplying matrices with an introductory video of what they will learn in the course.
Algebra and Trigonometry: Linear Functions
Understanding Linear Functions and the Different Mathematical Operations Related to Them
Created by Great IT Courses  Mathematics
Students: 847, Price: $89.99
Students: 847, Price: Paid
This course teaches you all the important underlying concepts in Linear functions in mathematics. The knowledge that you gain here can be further completed in our next courses towards a complete mastery of calculus.
This course covers the following topics:
 Linear Functions
 Modeling with Linear Functions
 Fitting Linear Functions to Data (Statistics)
As described above, this course can also be taken in combination with our other courses in this course series. If you're interested in learning mathematics with us all the way up to calculus, please read our "Mathematics" page on "Greatitcourses" website (a Google search will get you there).
Linear Algebra Tutorial: Determinants
Learn everything you need to know to solve problems involving determinants
Created by Dynamic Lectures 
Students: 833, Price: $29.99
Students: 833, Price: Paid
In this course you learn everything you need to know to solve problems involving determinants. The course consists of theoretic as well as practice lectures. In the theoretic lectures I explain the statements of important theorems and give easy to understand examples. In practice lectures I go over solutions to exercises.
No preliminary knowledge beyond precalculus is assumed. Anyone who is interested in linear algebra are welcome to take the course.
However, the course is designed primarily for college students. It is great for those who'd like to get prepared ahead of live lectures, and those who need help with homework. You may also use this short course as a review before a college exam.
Like any other tutorial, this course is not a substitute to regular lectures. The goal of this tutorial is to help you learn how to solve problems in linear algebra rather than explain the proofs of theorems.
Scholarly Unicorn’s Linear Algebra Course – Part 1
Learn How to Solve Linear Systems
Created by Steve Warner  Mathematician and Musician
Students: 781, Price: $19.99
Students: 781, Price: Paid
This is the first part of a full linear algebra course. This part of the course focuses on the theory of linear systems.
In this part of the course you will
 learn how to solve linear systems.
 develop a deeper understanding of the theory of linear systems.
 gain the mathematical knowledge and skill level required to answer questions about linear systems.
Course Lessons
 What is a Linear Equation
 Linear Systems
 Elimination Method
 Equivalent Systems
 Echelon Form
 Reduced Row Echelon Form
 Row Reduction
 Row Reduction  More Examples
Linear Algebra for Data Science & Machine learning in Python
Learn Concepts of Linear Algebra and Implement using Python 3, Hands on Numpy, Pandas for Data Science & Linear Algebra
Created by El Farouk Yasser  Double Major in Mathematics and Computer Science
Students: 716, Price: $89.99
Students: 716, Price: Paid
In this course, We will explain the essentials of Linear Algebra and everything that you need to understand the basics of linear algebra as well as explain Python from Scratch.
We will cover content such as:

Python 3 Basics to Advanced Level

Numpy Library and Pandas Library

Matrices and Linear System of Equations

Linear Regression with Python Numpy Library

Matrix Operations using Python Numpy Library

Gaussian Elimination

Reduced Echelon Form and RREF

Matrix Algebra

Special Matrices, Diagonal Matrices, and Inverse Matrices

Inverse Matrices and The Inverses of Transposed Matrices

Determinants and computing the Determinant

Much more!
By the end of this course, you should very comfortable with Python, Linear algebra, and be able to follow throw any Math which uses the Linear Algebra notation in Machine learning algorithms.
You will also get answers to any questions that you might have for life.
Linear Algebra: 40+ hours of Tutorials and Exercises!
Most clear and informative Linear Algebra course out there! Dozens of Examples and Exercises.
Created by Kvasir Education  Your Math Instructor
Students: 629, Price: $89.99
Students: 629, Price: Paid
This course of Linear Algebra gives an introductory treatment of linear algebra that is suitable for a first undergraduate course. Its aim is to present the fundamentals of linear algebra in the clearest possible way.
The subjects covered are Systems of Linear Equations, Matrices, Determinants, Vector Spaces, Eigenvectors/Values, Diagonalization, Linear Transformations (maps), Inner Product Spaces, Vectors and Markov Chains.
Ring and Field (Advance Pure Math): University Level Course
After learning trigonometry, calculus, geometry, algebra, statistics, linear algebra, learn an advance topic in maths
Created by AD Chauhdry (AD Maths Plus Academy)  Researcher, Mathematician and Scientist
Students: 497, Price: $89.99
Students: 497, Price: Paid
Ring and field is high level math course in pure mathematics. I suggest this ring and field only for the experts in math and highly discourage for who have't mathematics background. The concepts in ring and field demand high brain and aptitude math mind.
Ring and field have its own significance when studied in pure mathematics. It is one of the branch of pure mathematics after group theory. Group theory actually is the base of ring and field. Many students of pure mathematics tilt their head while taking these course because these courses are little logical and have deep understanding.
But we have tried to make it easy for everyone understanding. We have focused on examples that will easily dip in the mind of the students. However, if you have the basics algebra skills at high school then this is the perfect course for you and you will enjoy this course.
So if any students other than math expert wants to enroll in this course then I can't guarantee about their fine and better learning.
One solution is to take this, it is suggested to you that enroll in my abstract algebra course if you want to understand the ring and field concepts completely.
The length of this course is 2 hours and in these 2 hours you will cover the all advance concepts of abstract algebra. We have given the overview of abstract algebra in the previous course which is called abstract algebra, a university level course in group theory. So it is best if you will take the previous course and then you should master this advance concept of abstract algebra.
We highly encourage to our students who ask the questions and we give them the instant response after their questions. More questions you will ask then more concepts will be clear in this way.