I'm re-visiting linear algebra - I took a course in college, but that was more of a instruction manual on linear algebra problem solving techniques and vocabulary than a look at the overall theory. I'm reading Linear Algebra Done Right, and was wondering if anyone else is interested.
This book starts from the beginning of the subject, assuming no knowledge of linear algebra. The key points is that you are about to immerse yourself in serious mathematics, with an emphasis on your attaining a deep understanding of the definitions, theorems, and proofs.
I've done the first two chapters, and I'm not particular about study pace - I haven't really done enough self-directed studying to know what pace I want or I can do. Roughly an hour or so a night seems reasonable, however.
I did the ~1/2 of the problems up through chapter 4, and am currently reading chapter 5. I'm not sure If want to spend more time doing problems or not, but I'm definitely interested in reading the rest of the book.
Yes. I'm "ASL IV" level. I'm conversationally expressive, less so receptive.
Do you have interest in collaborating on Anki decks? I'm thinking video clips with English glosses. I'd also love a ASL/English dictionary that was searchable by handshape, body location, movement, etc.
If you're interested, I've done this document with all the best resources (IMO) that can be found about ASL.
Concerning an ASL/English dictionary, I know these two: Handspeak and ASL Jinkle.
I'm studying K-theory using Atiyah's book. A partner would be welcome. Required background is some familiarity with vector spaces and vector bundles, some familiarity with topology, and very basic knowledge of groups. It is a very good introduction for universal properties.
I am learning HTML/JS and frontend development more generally, initially using Bootstrap as my tutor. I'm starting with a generic familiarity with Natlab/Python but no prior web dev experience.
I'm currently making progress through Information Theory (http://videolectures.net/course_information_theory_pattern_recognition/) and I'm considering trying the upcoming Coursera course on Discrete Optimization (https://www.coursera.org/course/optimization) or the one on scientific computing (https://www.coursera.org/course/scicomp), though I'd prefer the latter. I'm open to studying just about any quantitative topic, though - name a MOOC or subject and ask me if I'm interested.
It's still in its extremely kludgey infancy, but http://powershame.com might be useful for people trying this.
This is the monthly thread to find a study partner.
For reasons mentioned in So8res article as well as for other reasons: studying with a partner can be very good.
So if you're looking for a study partner for an online course, reading a manual or else (whether it's in the MIRI course list or not) tell others in the comment section.
The past treads about finding a study partner can be found under the tag study_thread. However, you have higher probabilities of finding a study partner in the most recent thread. If you haven't found a study partner last month, you are welcome to post the same comment again here.