Linear Algebra 101 for AI/ML | Hacker News Reader

Linear Algebra 101 for AI/ML

trybackprop.com

79 pointstrybackprop14 comments

Super awesome! A lot of this was review for me after watching 3blue1brown's series on Linear Algebra but definitely some new stuff in here. I would definitely recommend this series to anybody looking to learn!

https://youtube.com/playlist?list=PLZHQObOWTQDPD3MizzM2xVFit...

I love 3Blue1Brown's Essence of Linear Algebra series! Yeah, I wrote this article knowing it'd be review for a lot of folks, but I wanted to at least get readers on the same page before diving deeper into the more interesting aspects of ML. Thanks for reading! Stay tuned for part 2 of my Linear Algebra 101 series.

Was not expecting to be on the front page of HN! Please feel free to leave feedback on the website (i.e., mobile experience, content, quiz, etc.) Thanks!

Just finished working through part 1 and subscribed! Thank you so much! I've always been interested in learning ML but the math has been the hurdle for me that seems to have been assumed knowledge elsewhere. Saw the title and was immediately hooked! Can't wait for more.

I'm working on this series of articles for folks like you! So glad to hear that you found it useful. Stay tuned for part 2!

I didn't understand why a vector is defined as a = torch.tensor([[3], [4], [5], [5]]) and then, a paragraph below, it's a = torch.tensor([1.0, 2.0, 4.0, 8.0]) or b = torch.tensor([1.0, 0.5, 0.25, 0.125])

Also someone might be puzzled by the use of the tensor method while the notion of a tensor has not yet been introduced. I understand that it's quite difficult to introduce all concepts at once, though.

Anyway, thanks for the resource and keep it up!

thank you for the feedback! Ah, I can see how switching from column form to row form right away is confusing, especially if someone isn't familiar with all the notation and the code yet. Same with introducing the tensor method without talking about what a tensor is until later. Thanks for pointing this out! I'll make some adjustments.

Excellent, thank you for making this! Your way of explaining things really resonates with me.

Thank you for the kind words! I currently working on Part 2 of the series (dot products, matrix multiplication, similarity search) and hope to have it out soon. Hope you continue reading!

Very well written, please keep doing this.

Thank you for the kind words! Please feel free to leave any feedback if you have any. Thanks!

I just posted part 2: https://news.ycombinator.com/item?id=40846513. It covers the dot product and embeddings and features more visuals and two interactive playgrounds to reinforce the concepts learned. Hope you find it useful.

This was a fantastic guide! Subscribed!

Thanks! Part 2 (in the works) will cover visual explanations of the dot product and matrix multiplication, and I'll discuss how to build a visual similarity search engine. Stay tuned!

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