Complete Linear Algebra for Data Science & Machine Learning
$119.99 $20.99Track price
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
Instructor Details
Courses : 2
Specification: Complete Linear Algebra for Data Science & Machine Learning
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27 reviews for Complete Linear Algebra for Data Science & Machine Learning
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Price | $20.99 |
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Provider | |
Duration | 18 hours |
Year | 2021 |
Level | All |
Language | English |
Certificate | Yes |
Quizzes | Yes |
$119.99 $20.99
A B –
So far it looks like it’s a good course, fairly simple and straight to the point with details I need to know. There is a slight accent, but it’s honestly not as bad as some reviews make it out to be. You can easily distinguish the words (although I hear mattress instead of matrix) using context alone. I don’t see any subtitles in the video playback options, which may be an issue for users who don’t speak English fluently. Other than that, I enjoying the course so far. Will leave a more thorough review once I have delved further into the course.
Rebecca Clark –
I have struggled with linear systems in the past, but here its being taught in a very insightful way. Things have started to make sense now, thank you!
Matt Gilbert –
The teacher taught linear algebra in rigorous detail. Not only that, he started from ‘what is a matrix’ so you get a chance to refresh the concepts.
Lana Scarborough –
Kashif teaches math in a very effective way, I like his way of explaining things without assuming prior knowledge.
Jason Chan –
his is fantastic teaching.
Richard Dosa M –
Good match so 100% recomended.
Doug –
Thanks for sharing this knowledge, it’s a long course but worth it! lessons are well organized and the instructor is responsive. Can’t wait for more courses from you!
R. Nnamdi –
I found this much easier than the same course in college!
Harsha Vardhan Sannareddy –
Thank you for creating course.. Really enjoyed watching so far.
Anna Nuria –
Nice course that will be very helpful for my quizzes!
Faizul Islam Tiwana –
I have been able to build a solid understanding of these mathematical concepts for my machine learning and AI journey using this course.
Ayala Allon –
I had a great time learning this course. Kashif’s explanations and examples are very clear. I definitely developed intuition for concepts I didn’t know much about before. I recommend this course and Kashif as an instructor. I asked many questions in the forum and He always gave answers that were clear and helped me understand the material. One I thing I would add to improve the learning process is a detail solution for the assignments rather than just providing the final answer. Thanks again!
Susan K –
I found it very helpful for learning Machine Learning.
Vijay Kapadia –
Clear and detailed explanations.
Sal Malik –
Awesome tutorial.
Joe Huang –
Good course so far.
Soledad Varela –
Concise intro to linear algebra. Great course for a quick refresher.
Faizul Islam Tiwana –
I have been able to build a solid understanding of these mathematical concepts for my machine learning and AI journey using this course.
Richard Dosa M –
Good match so 100% recomended.
Lana Scarborough –
Kashif teaches math in a very effective way, I like his way of explaining things without assuming prior knowledge.
abhilekh singh –
very good
Shannon Doyle –
I listen on 1.75 speed, then the pace is fine. the explanations are good. but there should be practice after every section. Also suddenly section 14’s assignment was super long. I still find it hard to connect the ideas/ a mix of everything that was learnt would be good in the assignments, so you dont forget everything from before
Venkataraman –
good
Ganesh –
I would like to use this knowledge of Linear Algebra for Data Science and Machine Learning.
Gamal Sultan –
I think it would help to elaborate more on the applications of matrices. As a person with a job, I would love to see how matrices can help me do my job better,
Mark David Espinoza –
So far I enjoy that the instructor is going over the basics. Often times instructors assume students know everything, which is the cause for the lack of interest and poor performance by students. So overall, great course and looking forward to the reminder of the course.
Mario Cinquina –
Yes! I think this is a good match. So far he makes it simple by bringing things into a stepwise order. The first steps set the prerequisite for the second step.