_eigenfoo

10 ms·

61.
16 Things You Can Do to Make Tech More Ethical(fast.ai)
3 points by _eigenfoo 7y ago|0 comments
62.
ProtonMail now offers elliptic curve cryptography(protonmail.com)
201 points by _eigenfoo 7y ago|141 comments
63.
Apple Hires Top AI Expert Ian Goodfellow from Google(zdnet.com)
2 points by _eigenfoo 7y ago|0 comments
64.
Towards Standardization of Data Licenses: The Montreal Data License(arxiv.org)
1 points by _eigenfoo 8y ago|0 comments
65.
Why Latent Dirichlet Allocation Sucks(eigenfoo.xyz)
5 points by _eigenfoo 8y ago|0 comments
66.
Autoregressive Models in Deep Learning – A Brief Survey(eigenfoo.xyz)
3 points by _eigenfoo 8y ago|0 comments
67.
by _eigenfoo 8y ago
Just to throw in my two cents: there's also https://utteranc.es/ . It takes a bit more effort to get up and running, but if you're comfortable with your comments being powered by GitHub issues, it's a great wa
68.
by _eigenfoo 8y ago
NMF (and matrix factorization techniques more generally) are a really underrated machine learning technique. If you have a decent intuition for linear algebra, matrix factorizations are straightforward to understand, fairly easy to interpre
69.
The Definitive Guide to Contributing to Open Source(medium.freecodecamp.org)
2 points by _eigenfoo 8y ago|0 comments
70.
Utterances – A lightweight comments widget built on GitHub issues(utteranc.es)
1 points by _eigenfoo 8y ago|0 comments
71.
Modern Computational Methods for Bayesian Inference – A Reading List(eigenfoo.xyz)
2 points by _eigenfoo 8y ago|0 comments
72.
Understanding Hate Speech on Reddit Through Text Clustering(eigenfoo.xyz)
2 points by _eigenfoo 8y ago|0 comments
73.
Lessons from Content Marketing Myself (aka Blogging) for Five Years(erikbern.com)
3 points by _eigenfoo 8y ago|0 comments
74.
Jobs in AI and Big Data(ai-jobs.net)
4 points by _eigenfoo 8y ago|0 comments
75.
A Thorough Introduction to Boltzmann Machines(willwolf.io)
2 points by _eigenfoo 8y ago|0 comments
76.
Open Source Version Control System for Data Science Projects(dvc.org)
4 points by _eigenfoo 8y ago|0 comments
77.
Notes to myself on software engineering(medium.com)
1 points by _eigenfoo 8y ago|0 comments
78.
by _eigenfoo 8y ago
Yes! I haven't read all of it yet, but from what I've seen so far, the book spends a lot of time rigorously proving mathematical properties/bounds of various bandit algorithms. I love rigor as much as the next guy, but I also
79.
by _eigenfoo 8y ago
Incredible! Thanks for sharing the advice :)
80.
by _eigenfoo 8y ago
Right! Sorry about that, forgot to add mathjax. Should be fixed soon...
81.
Multi-Armed Bandits, Conjugate Models and Bayesian Reinforcement Learning(eigenfoo.xyz)
125 points by _eigenfoo 8y ago|18 comments
82.
by _eigenfoo 8y ago
If you're looking for just mathematical statistics, I liked Hogg McKean and Craig's "Introduction to Mathematical Statistics" (4th edition was much better than the ones after it, imo). But if you're looking to learn
83.
Why Latent Dirichlet Allocation Sucks(eigenfoo.xyz)
3 points by _eigenfoo 8y ago|0 comments
84.
Cookbook – Bayesian Modeling with PyMC3(eigenfoo.xyz)
24 points by _eigenfoo 8y ago|3 comments
85.
Understanding Hate Speech on Reddit Through Text Clustering(medium.com)
1 points by _eigenfoo 8y ago|0 comments