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mathheaven

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Lisp is only a general idea about syntax and macros. If you want numerical computations you want a big library like blas, and the problem is about efficient memory allocation, cache and garbage collection. If you want deep learning you want a big library.

Lisp is like arithmetic, without more concepts or libraries it doesn't work, you have to reinvent the wheel.

R provides near 8000 useful packages, that's what makes a language a useful tool to solve a problem, and it can call routines in C, fortran or use C with armadillo. To sum up, a language without a great community and specific libraries is not a way to fix the world, on top of that there are few jobs using Lisp. Clojure is trying to take advantage of all those java libraries, that is a good step in the right direction. Clasp is another idea trying to use C++.

Just a little nickpick, reading the first lines, I would prefer the author to explain the Pythagorean theorem in R^n like this (is a very simple proof)

v . v = |v|^2, and u and v are orthogonal (u . v = 0) then |u+v|^2 = (u+v) . (u+v) = u.u + v.v = |u|^2 + |v|^2

A nice example of a projection, if v=(1,1,1,...,1) then the projection of u over v is mean(u)*v

Brian Blais's free book doesn't contain any reference to the Poisson Distribution.

For ML Hastie and Tibshirani ISLR is very good but is more for applications of machine learning: classification, regression and prediction.

LispY C 10 years ago

My first impression with the title was wrong, I thought about something related to Lisp and Y Combinator.

AWS IoT Button 10 years ago

Planned obsolescence = obsolescencia planeada in Spanish, designing purposely a product that won't last to get money through client's pockets. Examples with ink for printers was on courts.

For people like me that are used to only reading the comments: You can read the book online, code is in ruby, example: tabu search for the traveling salesman problem.

I should suggest updating the code by using the python ecosystem: numpy, pandas, scikit-learn and enhacing the value book with a little of ML

If there is a Math's Heaven with the Book in it, I hope he joins the chorus.

(*) The Book as the place were the greatest theorems and proofs are located, P. Erdos, exposed in Noga Alon the probabilistic method.

By the way, there is a comment by someone nhatcher, is it the famous topology author?