[1]: https://hastie.su.domains/ElemStatLearn/

[2]: https://probml.github.io/pml-book/book0.html

[3]: https://probml.github.io/pml-book/book1.html

[4]: https://probml.github.io/pml-book/book2.html

"Through activation, lifeless equations became living systems. The neuron was no longer a mere calculator; it was a decider - a locus of transformation where signal met significance." -- wtf

Even a quick scan shows some pretty critical errors. In 76.4

  Two parameters govern its perception:

   • ( ): neighborhood radius
   • ( MinPts ): minimum points per dense region

  In Fuzzy C-Means (FCM), each point (x_i) receives membership values (u_{ik}) in (
                               0,1
  ), satisfying (k u{ik} = 1). The objective is to minimize: 

Also, the math really smells of AI. It has equations but it is like they have no substance. It has the form, but not the feeling. I know all this math and looking through I don't know how anyone could learn from such text. I'm not sure how it could even serve as a good reference. Where are the derivations? Where are the corollaries? Where are the implications? The extensions? The... depth?

0/10. I think you would be worse off by reading this

https://github.com/little-book-of/maths