NA
Jun 17, 2023
Very visual and application oriented and gives the context for machine learning and where linAL is applied in PCA and neural networks. The structure is really byte sized and fun to work with.
SP
Jul 26, 2023
This course is truly exceptional for individuals eager to strengthen their grasp of Linear Algebra concepts, paving the way for a deeper understanding of machine learning and data science.
By Atif H
•Oct 21, 2023
In part brilliant, in part very bad. Some of the videos are too short and programming assignments are sometimes hard. A few videos on python and numpy will help.
By Shrey J
•Jul 7, 2023
Gives a very good understanding right uptil week 4, but then Eigenvalues and Eigenbasis could be better explained.
By RISHIT S S
•Sep 8, 2023
Very basic fundamentals could have done more. But overall a good course to gain insight into the topic
By Hemant A
•Apr 22, 2023
eigen vector and eigen values part is not explained briefly other than that course is just amazing.
By Roman S
•Mar 6, 2023
Very basic, some interesting topics are omitted. But visualizations are good.
By Danish S
•Jun 7, 2023
Eigen Values and Eigen Vectors wasn't explained in great details
By Reema A
•Oct 5, 2023
the grading criteria is not accurate, slides are not so clear
By Daniel K
•Apr 14, 2024
too easy
By Mike M
•May 21, 2024
I would like to give the instructor five stars for his basic instruction, but I have to give the class one star for the lack of support around any of the coding exercises, and so I've averaged it to two (2.5 if I could). Professor Serrano does a nice job of providing a basic understanding/intuition of Linear Algebra, but the course needs A LOT more supporting material to help practice and develop a deeper understanding. As for the coding exercises, which are necessary for a certification of completion, there is next to zero supporting materials to help build a competency necessary to complete the assignments. The coding assignments are very complicated, without the needed intermediate steps to help you understand the deeper material. If the coding material is needed for the certificate, it would be better if there was more supporting material/tutorials around implementing linear algebra in code, but instead it goes from 0-60mph immediately. There are better resources out there for learning this material.
By Deric O (
•Aug 29, 2023
This course was not helpful to me. I didn't really understand what I was achieving in the last lab and although I passed all the quizzes, I found myself going to external resources constantly for answers. It's this weird mix of overly simplified metaphors and then slides that truncate the mathematical steps they show which left me at least having to pause it and figure out what happened. IDK.
By S. C
•Nov 24, 2023
Section on Eigenvalues is terrible. Makes zero sense. You never once even mention the word "eigenbasis" in the curiculum and now it's on the quiz. "contrust the eigenbasis". WTF is "contrust"? What am I paying you for if not to explain these things. "Google it." is a lazy answer. I'm taking these courses so I can build an AI education platform that makes you obsolete.
By Cameron M
•Oct 16, 2023
The intuition (for ML & DS) was not established; the explanations were often thin; maybe drop the "for ML and DS" part off the description?
By andrew g
•Apr 12, 2024
Not possible without knowing Python 3 already. Also doesn't really talk about ML so I don't know how any of this is applicable to ML.
By Guillermo O C
•Feb 25, 2024
Los laboratorios de python son complejos para una persona que recien empeza a programar, un ejemplo de eso se ve en la tara C1W2
By Ming Z
•Sep 24, 2023
This course is kind of unstructured and the assignments and quizzes contain lots of uncovered content.
By Vladimir B
•Jul 2, 2023
Material is not complete explaint. There are not Hins in Labs.
By Yousef I
•Sep 4, 2023
eigenvalues and vectors were poorly explained
By Shailja K
•Jan 31, 2024
Too confusing
By Zane L
•May 20, 2024
NO
By Rebecca M
•Mar 1, 2023
Completed all the way up through the last assignment in week 3 with 100% on all assignments and quizzes. Completed all but the very last question in the programming assignment with matching "Expected Output" and "All Tests Passed" , and pasted the "#grade-up-to-here into the cell second to last cell. I have submitted many times, receiving anywhere from 0-50%. Have emailed support, and never even received a generic response that it was received. Very frustrated and tempted to leave Coursera forever. :(
By José A
•Feb 13, 2024
Sin ninguna duda aprenderás más en youtube, que aquÃ. Lo unico que puedo decir es que cada dÃa que pasa me arrepiento de haber tomado este curso, pensé que serÃa distinto. Los laboratorios son lo peor, solo es texto y nada más. Incluso puedo decir que existen mejores cursos que te explican el área matemática junto con la programación a la par, en cambio aquà la toman por separado, deficiente... No lo recomiendo por ninguna manera. Mejor anda a youtube y encontraras mejores cosas
By Aleksandr D
•Sep 4, 2023
The course is too basic and too shallow. Usually, I am thinking that explaining things in a simpler way is better. Though the course completely ignores academic abstractions therefore I cannot recommend it for people without math background. As a refresher was not that bad.
By Bader A A
•Oct 1, 2023
this course is not well structured for beginners, it is not taught well with details. the instructor goes over the concepts in short manner, then quiz you and also quiz you in python numpy library, the order of topics is not correct in my opinion
By Rose E
•May 22, 2024
Graded quizes have questions that do not explain what format the answers should be in. ZERO support from Coursera when needed. So disappointed with this course thus far. Hopefully, it gets better as I go on.
By Vlad P
•Oct 31, 2023
Very poor explanation. The tutor more practises tongue twisters, than actually explains anything. You'll definitely need other sources of information to understand the topic.