My-LinkedIn-Activites-
This repository focuses on saving my linkedin articles and important activities.
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. :)