Table of contents
Comprehensive Content
The course provides a thorough understanding of linear algebra, covering fundamental topics such as vector spaces, linear transformations, and eigenvectors. The materials are extensive and well-organized.
Expert Instruction
Taught by Prof. Gilbert Strang, a highly regarded mathematician and educator, offering clear explanations and insights into complex topics, enhancing the learning experience.
Free Access
As part of MIT's OpenCourseWare initiative, the course materials are freely available to anyone with internet access, making it highly accessible to a global audience.
Diverse Learning Materials
Includes a variety of resources such as lecture notes, problem sets, video lectures, and exams with solutions, catering to different learning preferences and reinforcing concepts.
Self-Paced Learning
The course allows learners to progress at their own pace, making it ideal for self-learners or those with other commitments.
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If you actually want to learn linear algebra, don't use this blogpost. It's real weaksauce compared to the wealth of free information and resources available online. Firstly, the real illustrated guide to linear algebra is the youtube series "The Essence of linear algebra" by 3blue1brown[1]. It has fantastic visualisations for building intuition and in general is wildly superior to this, which seems fine... - Source: Hacker News / 7 months ago
A lot of people think Gil Strang was that. Certainly his 18.06SC lecture series is fabulous.[1] I really like Sheldon Axler and he has made a series of short videos to accompany the book that I think are wonderful. Very clear and easy to understand, but with a little bit more of the intuition behind the proofs etc. [1] https://youtube.com/playlist?list=PL221E2BBF13BECF6C&si=G2XqE-itCFzQt7VE [2]... - Source: Hacker News / over 2 years ago
Kahn Academy as well as MIT OCW from Prof. Gill Strang are both excellent resources I have used time and time again. There's nothing wrong with it when you want to get started. I emphasize this to note that you will need to pivot to a textbook for some more formal learning. Source: about 3 years ago
Background - So after a bit of researching through this subreddit, I am currently working my way through Linear Algebra and Probability Theory. I also did a stats course as a part of my undergrad, but dont really recall much from that. Besides these, I've also taken a grad intro to AI course, but as you'd expect it covered basic stuff like search, adversarial games, constraint satisfaction, bayesian inference etc. Source: about 3 years ago
The MIT OCW by Strang is great. It has problem sets, solutions, and discussion sections in addition to the regular lectures. Source: about 3 years ago
Came here to say this. Go through the actual course methodically though - readings, summaries, problems solutions. It's incredible. Miles ahead of coursera equiv. https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/pages/resource-index/. - Source: Hacker News / about 3 years ago
We'll be working through this course -> https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/. - Source: Hacker News / over 3 years ago
Hi, Iโm looking for some buddies who are interested in studying this online course and the textbook with me. Here is a link to the course. Iโm not a complete beginner, I did take a class in linear algebra 3 years ago, but unfortunately I only did the bare minimum to pass the course, so I want to gain a more full understanding this time. I donโt mind if youโre a beginner or if itโs revision for you. My time zone is... Source: over 3 years ago
Check out MIT course on Linear algebra for a comprehensive understanding of linear algebra -> https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/. Source: over 3 years ago
What youโre really after is the notion of a vector spaceโas an engineer, usually youโre required to take a linear algebra course (which covers vector spaces) as part of your degree. If you want to learn about it on your own, MIT OpenCourseware has an amazing linear algebra course that I learned from: https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/. Source: over 3 years ago
I ended up watching the MIT courses while taking 2568 and Prof Strang taught me everything I need to know and more. https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/. Source: over 3 years ago
I'm currently using the Strang text, it's great when you compliment it with the lectures in the MIT course: https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/. Source: over 3 years ago
Any opinions on what to learn in Linear Algebra after Gilbert Strangโs 18.06SC? https://ocw.mit.edu/courses/18-06sc-linear-algebra-fall-2011/ My goal is to learn the math behind machine learning. - Source: Hacker News / about 4 years ago
Hello everyone, I just got done with multivariable calculus from mit ocw and will be starting the linear algebra course soon. Unlike the calculus courses, I noticed there were no typical problem sets after a couple of units. There are however, a few review questions in each unit, and also the accompanying text book contains problems. In addition, I also found these problems sets from the previous course. I am not... Source: about 4 years ago
Https://ocw.mit.edu/courses/mathematics/18-06sc-linear-algebra-fall-2011/index.htm. Source: about 5 years ago
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