Linear Algebra and Learning from Data
by Gilbert Strang · first published 2019
42% recommend58% neutral
Why HN recommends it
Intuition-first linear algebra tied to statistics, optimization, and neural networks. Conversational yet terse, with applications and exercises for learners who prefer applications over proofs.
Summarised by Claude from recommending comments
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Strang just published a new book called "Linear Algebra and Learning From Data" [1] which I only just started but find to be quite enjoyable so far. It's simultaneously conversational but also quite terse (similar to "All of Statistics"). There are many advanced and very contemporary…
on “Self Studying the MIT Applied Math Curriculum” ↗Check out "Linear Algebra and Learning from Data" by Gilbert Strang. It includes a nice introduction to Linear Algebra, touches on relevant statistics and optimization, then puts them all together in chapters on neural networks. It's a textbook, so…
on “Ask HN: What Neural Networks/Deep Learning Books Should I Read?” ↗For a really intuitive introduction to linear algebra, I highly recommend Gilbert Strang's "Linear Algebra and Learning from Data": https://math.mit.edu/~gs/learningfromdata/
on “Linear Algebra Done Wrong (2004)” ↗…of deep learning. - MIT OCW Course: Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (https://ocw.mit.edu/courses/18-065-matrix-methods-in-data-an...) - The text book website: Linear Algebra and Learning from Data (2019) https://math.mit.edu/~gs/learningfromdata/ - The Classic Linear Algebra Course: https://ocw.mit.edu/courses/18-06-linear-algebra-spring-2010...
on “The Little Book of Linear Algebra” ↗If you liked 3B1B and prefer intuition/applications-heavy view, then definitely Strang over Axler. Check out especially his newer textbook Linear Algebra and Learning from Data. Axler is more of a pure math textbook - if you want to lean more into proofs and abstractions.
on “Linear Algebra Done Right – Sheldon Axler” ↗Here's the link for his upcoming book and new MIT course videos that be will posted online in a few weeks: Linear Algebra and Learning from Data http://math.mit.edu/~gs/learningfromdata/
on “A conversation with Gilbert Strang [video]” ↗…https://dspace.mit.edu/handle/1721.1/29345. Pavel has a clear and precise teaching style like Strang, and he makes reference to Prof's Strang and his MIT course from time to time. NB: Prof Strang has a new book Linear Algebra and Learning from Data that just went to press and will be available in print by mid Jan 2019. A few chapters are available online now, and the video lectures from the new MIT course should on YouTube in a few weeks. [4] [0]…
on “Introduction to Applied Linear Algebra: Vectors, Matrices, and Least Squares” ↗"Linear Algebra and Learning from Data" by Gilbert Strang [1] has a section on that. https://math.mit.edu/~gs/learningfromdata/
on “Introduction to Linear Algebra for Applied Machine Learning with Python” ↗Currently, I'm working through Gilber Strangs new book "Linear Algebra and Learning from Data"
on “Ask HN: What kind of math do you study in your free time?” ↗…https://news.ycombinator.com/item?id=19939030 - May 2019 (23 comments) Matrix Methods in Data Analysis, Signal Processing, and Machine Learning - https://news.ycombinator.com/item?id=19933274 - May 2019 (21 comments) Strang's “Linear Algebra and Learning from Data” is printed and available - https://news.ycombinator.com/item?id=18862719 - Jan 2019 (22 comments) A conversation with Gilbert Strang [video] - https://news.ycombinator.com/item?id=18048316 - Sept 2018…
on “He made linear algebra fun (Gilbert Strang)” ↗…machine learning for an afternoon! He used to spend a few months per year in Oxford, and he had gotten in touch with my PhD advisor to ask some ML questions, as at the time he was writing his new book about linear algebra and learning from data. My advisor couldn't make it to their meeting so he sent me at the last minute instead. So bewildered me, a PhD student, met with Gilbert Strang to explain him some basic machine learning concepts! Interestingly,…
on “He made linear algebra fun (Gilbert Strang)” ↗Is this course related to his most recent book, Linear Algebra and Learning from Data[1]? [1] https://math.mit.edu/~gs/learningfromdata/
on “He made linear algebra fun (Gilbert Strang)” ↗…looked at it in detail, but the legendary Gilbert Strang, in addition to his classic linear algebra course, also has a course that aims to teach enough linear algebra to explain deep learning called "Linear Algebra and Learning From Data". Maybe this is also helpful.