Dec 23, 2018
Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.
Apr 01, 2018
Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.
автор: Pirkka P•
Apr 23, 2019
Too many sessions and quizzes which appear to require previous knowledge of the taught subject, concept and the details. If I had that knowledge already, I would not be taking the course to begin with. The programming assignment do require previous Python/other programming experience. I would not categorize this as a 'beginner' class.
автор: Atul A•
Mar 13, 2019
I can't follow what is happening. There is a huge gap between what is being taught and what is being asked in the assignments.
автор: Georg K•
Sep 08, 2018
This course is not suited for beginners and people looking for an introductory lecture to Linear Algebra! Unfortunately the topics are extremely hastily presented and lack depth of explanation, sufficient examples and often leave out content required to complete the assignments. The material is not presented in a coherent way, and, for someone new to Linear Algebra like me, requires a great amount of self-study outside the course (e.g. Khan Academy) to comprehend the content. The team of lecturers is very likeable and enthusiastic. However, I do not comprehend where this course seeks to position itself: it is not suited for students new to Linear Algebra, and, not extensive enough for someone seeking to learn underlying mathematics for Machine Learning as this course simply doesn't cover Machine Learning. Finishing this course, I have some vague understanding of certain concepts and I am left longing for proper and structured content that I could feel confident about.
автор: Juan D•
Mar 20, 2019
The teacher's explanation videos are excellent, really really clear: it makes you feel as though they really paid attention on how to deliver the content in the most understandable way possible. The teacher speaks clearly, the audio and the subtitles are on point, etc.
Unfortunately, this all goes in flames when compared to the mess that is the evaluation system, which seems to jump two or three orders of magnitude in difficulty compared to what is actually taught in the lessons. This, in turn, makes it impossible to know whether the failure to get correct answers is due to one's own lack of competence, the bad quality of the lessons, or the lack of competence on the part of those tasked with creating the quizzes.
Based on my experience, as well as on the comments by other people equally baffled by the quizzes -not to mention the almost absolute absence of mentors willing to help out-, I strongly suspect it is the latter.
In my opinion, the course's effectiveness could dramatically increased if it included a lot more exercises at different levels of difficulty, in order for the students to really absorb each unit's contents. This would also have the advantage of preparing them for the really difficult questions on the "big quizzes".
автор: Andrew M•
Mar 15, 2019
Disclaimer: If you are familiar with Linear Algebra, you may love this course. This review is not for those people. This review is for the people who went to the course details, saw that the recommended audience was 'Beginner' level, and decided to give it a try, thinking it involved a low barrier of entry. You'd be thinking incorrectly. Here is why.
Let me start off by stating two things. First: I am terrible at all things mathematics, and wanted to improve my capabilities in this area. Second: This is by far the worst Coursera course that I've taken to date. I put all my effort into not only completing the course, but doing so on time, so that I don't dump more money into a course than completely necessary. With this course, I found myself loathing the prospect of torturing myself with the material, that I kept putting it off. I eventually had to come to terms that I hated this whole experience, and canceled my subscription prior to completing even the first course!
1.) The videos are absolutely useless - Up-to-date on all the latest and great math jargon? Well, you'd better be, or else you'll find yourself Googling terms like a madman and re-watching the videos over and over, just to get a grasp on what is going on. All this is topped off with the instructor talking a mile a minute (does he even breathe?) and making numerous mistakes throughout the videos. This will then prompt you to pause the video you were watching to go search the forums in order to see if the way you were taught to do something in a previous video was incorrect all along, just to find a post that confirms that the video did in fact have an error. Do yourself a favor and skip directly to the practice quizzes. You'll be equally clueless as to what is going on, but you won't have wasted time by watching pointless videos.
2.) I'm assuming the assignments and practices quizzes are in some way correlated to the subject matter depicted in said useless videos in point 1. If there is, then the questions therein are massively beefed up version of the subject. Nothing made me feel quite as stupid as practice quiz 1 of week 4 (this is where I finally gave up and called it quits). The only redeeming factor is that I'm not the only doofus in the room. The student forums are full of equally clueless people.
3.) For the price of $50 a month, I expected this course to house all I would need to ease me into the topic of Linear Algebra. Instead, it feels like I've been thrown into the ocean with cinder blocks strapped to my feet without knowing how to swim. Logically, I started grasping for the life boats that are Khan Academy and YouTube. I shouldn't have to go to external resources if I'm paying money to be taught something, but I did. Even though these external resources helped me better understand the concepts, the quiz material still looked like absolutely gibberish to me. That's when I knew this was no "Beginner" course.
All said, just buy a Linear Algebra text book off of Amazon if you want to learn this topic. It's cheaper in the long run, and coupled with Khan Academy, it'll get you farther. The only reason it isn't a single star for me is the fact that maybe it is beneficial for people who actually like math.
автор: Christoph A S•
Dec 18, 2018
Great and comprehensive course. Videos are very understable and interesting - however the quizzes jump a few times from 1 to 100 in terms of the difficulty and require further study besides what is taught in this course.
автор: João C L S•
Apr 11, 2019
The course is very good, almost perfect for my purposes. I liked specially the effort to make the students get the necessary intuition instead of pushing a lot examples as many other MOOC usually do. But I've noticed some negative points. I ask you to take my critic as a sincere effort to improve the course and eliminate some mistakes that really matters to the students. The last quiz seems quite disconnected with the lectures and there isn't a support guide or tutorial not even a mentor answering the questions in the week 5 forum. Some mistakes on videos (eigenvalues and eigenvectors) were confirmed by the lecturer but never corrected. Not even a errata on resources section. Talking about the resources, I think it is very poor. Cousera has many better examples.
автор: Ashley W•
Mar 31, 2019
Lots of unaddressed inconsistencies.
автор: Miguel A F B•
Mar 29, 2019
This course is phenomenal, It helped me to refresh a lot of skills that I learned at my college and at the same time I learned a bit on how to introduce all this matrixes into a programming assignment which are by the way extremely hard because I am a novice at programming. It helped me to see other subitems such as Gramm Schmitt and eigenvectors that I did not see on college, I understood them but not a 100%, I guess an 75% is an average. Thanks Coursera and Imperial College London for this awesome course. I had to search other books to comprehend the subject, but next time, be more detailed.
автор: Lochan N•
Mar 25, 2019
Eigen vector concept was not clearly explained as to how it applies to real world. But in general great course.
автор: Tim K•
Mar 09, 2019
Mostly a very solid course. There are some poor descriptions of certain concepts, though, and students are expected to fill in some gaps to what I perceive as an unreasonable degree.
автор: Badrul I•
Feb 26, 2019
Not intuitive or well explained. Examples are horrible
автор: Darren T•
Feb 04, 2019
The spends an insane amount of time on easy topics, but glosses over the most difficult conceptual topics in about 3-4 seconds. The quizzes/assessments are either trivially easy, or too difficult to do given what has been covered previously. No relevance for ML is given for the topics covered.
автор: Ehsan G•
Jan 21, 2019
No one cares about the homework! The Homeworks are not graded properly. Moreover, in the last module the lecturer speaks only without properly writing everything down or explain the subjects mathematically.
But honestly the first 4 Modules were explained very good.
автор: Tim R•
Jan 13, 2019
The autograding of python notebooks in week 3 does not work. Submission by alternative upload did grade properly either. Just trying over and over to get the test to pass, took longer than coding the assignment. Until this is fixed, I think this course is a unfortunately incomplete.
автор: naveen s•
Apr 28, 2018
If you are looking for overview on Linear Algebra, you can save USD 40, refer to free material all over Web. Some videos on Youtube are visually more capturing than blackboard style teaching here. Knowledge of Python is required for this course, though not obvious from start. Would have been good to begin with end in mine - a 5 minute video to explain why Linear Algebra is required for M/c learning can be motivating.
автор: Jeffrey J•
Mar 08, 2018
Course is titled incorrectly. The course has nothing to do with machine learning. It's mainly out of context symbol pushing (like most math courses).
I expect any positive reviews will be from folks who do not work as a practitioner in the field and just want to promote "good vibes". Beware if you're actually looking for contextualized understanding, as this is not the course for you (at least through the end of week 3).
автор: Kris S•
May 28, 2019
Very good course: well paced, well structured, just the right scope.
автор: JUNXIANG Z•
May 17, 2019
This course reviews the essential concept of linear algebra in the context of machine learning. However, it would be much better if it provided more optional exercise and reading materials.
автор: Philip A•
May 16, 2019
автор: kai k•
May 05, 2019
many of the activities are excellent, but videos hard to follow along to at times - play them at 0.75 speed if you can. Also, the faculty is not super responsive it seems on discussion boards creating some confusion
автор: Ralph T•
May 04, 2019
decent course. It gives a good enough background to understand the mathematics necessities of many areas of data science. could be more thorough and dive deeper into some of the content.
автор: LAURENT G•
Apr 06, 2019
A very good introduction but some of important content need to use another provider (Kahn academy) to understand completly
автор: khaled W S•
Mar 25, 2019
totally enjoyed it. requires a bit of side research as any online course would. some of the quizzes were not directly related to the video that preceded them as one would expect. However, a fun course and covers a lot of important basics for it's relatively short duration.
автор: Baccouche M S•
Feb 25, 2019
One of the best courses i studied in coursera