/explore
|
You are here 
|
vkc.sh | ||
| | | | |
kevinkle.in
|
|
| | | | | All of the definitions stem from Kevin Murphy's Probabilistic Machine Learning: An Introduction. Many of the following primitives are defined for discrete as well as continuous random variables and distributions. Since they are analogous, I chose to only represent discrete versions for the sake of simplicity. Entropy $$\mathbb{H}(X) = \mathbb{H}(p) := -\sum_\mathcal{X} p(X=x)\log_2 p(X=x)$$ Cross-entropy $$\mathbb{H}(p, q) := -\sum_\mathcal{X} p(X=x) \log_2 q(X=x)$$ Joint entropy $$\mathbb{H}(X, Y) := -\... | |
| | | | |
jonmcnaughton.com
|
|
| | | | | ||
| | | | |
localghost.dev
|
|
| | | | | Links to posts and websites I've enjoyed this week, curated and automated. | |
| | | | |
blog.cyberdaze.org
|
|
| | | My last go at this pattern was a fail because of the fabric. So what to do but make it up again immediately in something completely different. This coated denim came from Top Fabric quite a few years ago. I bought it to make skinny jeans. I ended up with two cuts of the fabric... | ||
