Machine Learning Glossary by Google
If you are looking for best blogs on ML and AI then following is the list you might want to check out:
- • John Langford’s Machine Learning (Theory) :
- • Marl Reid's Thoughts on Machine Learning and Inference:
- • Alex Smola’s Adventures in Data Land :
- • Yaroslav Bulatov's Machine Learning, etc:
- • Edwin Chen's blog:
- • Maxim Raginsky’s The Information Structuralist :
- • Jake Abernethy et al.’s Inherent Uncertainty :
- • William Cohen’s Cranial Darwinism:
- • Brendan O’Connor’s AI and Social Science blog:
- • Matthew Hurst’s Data Mining: Text Mining, Visualization and Social Media:
- • Justin Domke’s Weblog:
- • Hal Daume III’s Natural Language Processing blog:
- • David Pennock’s Oddhead Blog:
- • Shane Legg’s vetta project:
- • Neal Richter’s aicoder blog:
- • Fernando Pereira’s Earning My Turns:
- • Mikio Braun’s Marginally Interesting:
- • Yisong Yue’s Random Ponderings:
- • Bob Carpenter’s LingPipe Blog:
- • Good statistics blogs:
If you know more good blogs, feel free to help me edit the list. :)