Deep Learning Book Chapter 14 Notes
What is an autoencoder?
Eigen Apply Myself When I Want To: Finding Local Minima
Why The Second Derivative Test Works In One Dimension
How To Make Alt Key Not Type Unicode On Macos
I actually prefer the term macOS to OSX.
Eigenblogpost, or: Eigen Do It If I Try
Prerequisites (In Order Of Importance)
How to Get Rid of the Tildes in Vim 8 and Neovim
If your buffer has empty lines, they are filled with annoying tildes. Vim 8 and Neovim finally fix this by allowing you to conceal them with the following command:
Mnenomic for Law of Total Variance
I have (what I find) a handy mnemonic for the law of total variance. It’s also sometimes called the conditional variance formula, or (the reason for this mnenomic) Eve’s law. At least if I’m quoting Wikipedia right.
Notation for Stochastic Functions
I forget where I’ve seen this, but I like using a squiggly arrow to represent a function that returns a probability.
Numpy Tranpose Explained
Importance Sampling, Trivialized
Algebraic manipulation is always a fun way to make something profound seem like mere trickery.
I No Longer Like Python's Boolean Comparisons
1 or 2 # returns 1, not True (1 or 1) == True # returns False
Fixing Annoying Issue With Matplotlib Pyplot In macOS
plt.show() causes all sorts of issues on macOS. To fix them,
matplotlib backend to something besides
MacOSX. I used
Some Things Don't Change
From I Want to be a Mathematician, Paul Halmos’s autobiography.
Deep Learning Book Chapter 11 Notes
Understanding the fundamentals in chapter 5, especially over and underfitting, really pays off. This chapter is really easy to read if you can even half-remember those earlier sections.
Best Advice I Ever Got About Doing Math
I’m glad I read this early on, because it’s kept me going ever since.
This is a topic near to my heart, in the same way that an old bullet stuck in your chest is.