Just a place for me to keep my notes of the Introduction to Statistical Learning book.
This is by no means a comprehensive summary; just a list of points I wish to remember.
Hello Person From The Internet who has decided to come here. Thank you for dropping by.
Today I’m going to talk about a book I read - Work Rules!: Insights from Inside Google That Will Transform How You Live and Lead by Laszlo Bock.
In this post we discuss the H2O machine learning platform. We talk about what H2O is, and how to get started with it, using R - we create a Random Forest which we use to classify the Iris Dataset.
In my last post we saw how a matrix could operate on a vector to produce a result…
One of the most crucial changes in my viewpoint came when I learned that matrices, much like functions, act on inputs. Until then, a matrix was just a collection of numbers and matrix multiplication was just a mechanical set of rules used to produce another collection of numbers. I knew that the result of matrix multiplication could be a scalar, a vector or another matrix… but I abandoned any further investigations.