For those looking for more background on the topic, these are the fundamentals: http://stanford.edu/class/ee364a/lectures/num-lin-alg.pdf http://stanford.edu/cl

For those looking for more background on the topic, these are the fundamentals: http://stanford.edu/class/ee364a/lectures/num-lin-alg.pdf http://stanford.edu/class/ee364a/lectures/num-lin-alg.pdf I also strongly recommend the course Convex Optimization. Might help some people avoid neural nets when they don't need 'em ;)