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Matrix Methods in Data Analysis, Signal Processing, and Machine Learning
- AceJohnny2 7y agoOoh this is interesting. His Linear Algebra book was my favorite source on the topic back in college (though I hear people have alternate preferences).
- shstalwart 7y agoI really like Axler's Linear Algebra Done Right. It's all conceptual (i.e., proofs), and doesn't focus on computation at all.
- akulkarni 7y ago18.06 Linear Algebra was a fun class. Can’t believe he is still teaching.
- axiom92 7y agoThanks for sharing this. It's based on his new book: https://www.amazon.com/Linear-Algebra-Learning-Gilbert-Strang/dp/0692196382/ https://www.amazon.com/Linear-Algebra-Learning-Gilbert-Stran...
- baking 7y agoI bought this book a couple of weeks ago and I've been waiting eagerly for these lectures to be posted.
- stevesimmons 7y agoCan anyone who has seen the book comment on how good it is? There are just two reviews on Amazon, one 5* and one 1. The 1 said "The book resembles a set of somewhat incomplete and somewhat disorganized lecture notes prepared by a course instructor as a rough outline of the content of his course." That put me off buying it. So more data points would be helpful!
- nagVenkat 7y agoI have the book and I wish I didn’t buy (it’s an expensive book). You need to be already pretty good with Linear algebra and most of the material looked like cliff notes of various linear algebra and continuous optimization topics. I still plan to go through it but mildly disappointed.
- mrbonner 7y agoWould you recommend to get "Introduction to Linear Algebra, Fifth Edition" by Dr. Strang instead?
- nagVenkat 7y agoIt’s a good book and actually serves as a good intro to this book. For Starngs learning from data book, you also need to know some convex optimization (not the difficult). Good luck!
- pixelperfect 7y agoThanks for sharing. I hope at age 83 I can be as mentally sharp as Gilbert Strang is.
- axiom92 7y agoDepending on how old you are now, by the time you're 83, you could find yourself being a part of the new "middle aged" group :-) (i.e., we could end up inventing ways of increasing our lifespan dramatically).
- adamisom 7y agoor there could be nobody around to make the observation that there's nobody around, if any existential risks actualize
- bigred100 7y agoThank you OP. This looks like a wonderful resource.
- AareyBaba 7y agoPlaylist on Youtube https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIUcrkS2PivhN3k https://www.youtube.com/playlist?list=PLUl4u3cNGP63oMNUHXqIU...
- yannis 7y agoNotable is Alan Edelman's tip using Julia at the 36th lecture.
- sara7262 7y agoEven you can't believe there is a hen in world's biggest animals See the video how they looks and what they do https://cutt.ly/1rOU7Q https://cutt.ly/1rOU7Q Very funny dog using toilet Try to control your laugh http://bit.ly/2LVSNSG http://bit.ly/2LVSNSG Cute dog doing exercise like humans http://bit.ly/2Jq3rz1 http://bit.ly/2Jq3rz1
- jay754 7y agoSeems like an awesome course. Thanks for sharing
- aj7 7y agoLooks like state variables and signal processing, now mature with LabView and MatLab plugins and standard VLSI solutions being deemphasized in favor of machine learning and data science.
- charlysl 7y agoLabs, although mentioned in the syllabus, are not in the OCW materials. This is the best I could find (4 labs in Julia, Julia notebooks, and Matlab): https://github.com/dkout/18.065 https://github.com/dkout/18.065
- usgroup 7y agoYou’re doing SVD by lecture 3 (typically the last thing you do on a LA II course), so brace yourself. If you’re not already VERY good at LA I’d wait until you are before attempting this.