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Recent items include:

  • SC29: Dealing with в€ћ
  • The Spectral Theorem Turns Symmetric Matrices Into Simple Scaling
  • Patented application of linear algebra

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medium.com /1 month ago

SC29: Dealing with в€ћ

Find the whole linear algebra series hereContinue reading on Medium »

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pub.towardsai.net /5 days ago

The Spectral Theorem Turns Symmetric Matrices Into Simple Scaling

How a transformation splits into independent componentsContinue reading on Towards AI »

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johndcook.com /1 month ago

Patented application of linear algebra

I just found out Brian Beckman and I got a patent on work we did for GSI Technology [1]. Nearly all the work I do is under an NDA, so I don’t often get a chance to talk about my pr...

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medium.com /1 month ago

Math for ML — Part 3: From Dot Product to Projection

In the previous article, we explored the dot product.Continue reading on Medium »

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johndcook.com /1 month ago

Computing a lower bound on matrix rank

Suppose you want to know the rank of an n × n matrix A, the number of linearly independent rows of A, or equivalently the number of linearly independent columns. There are at least...

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medium.com /2 weeks ago

Why Can’t Transformers Just Rearrange Their Matrix Multiplications?

Linear attention unlocks a matrix multiplication trick that standard attention can't use, but the speedup comes at a cost.Continue reading on Medium »

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medium.com /1 month ago

Machine Learning Chapter 3.3: Ordinary Least Squares (OLS) Normal Equation & Geometry

PART 11: ORDINARY LEAST SQUARES (OLS)Continue reading on Medium »

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johndcook.com /1 month ago

Proof of the rank-trace theorem

The previous post discussed the motivation for and application of the rank-trace theorem. This post will give a proof. Suppose A is a real symmetric matrix. The rank-trace inequali...

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johndcook.com

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