Stanford Center for Professional Development - AI

Upgrade your AI skills in 2020! Our Natural Language Understanding online course is open for enrollment now. Course starts February 24th and runs for 10 weeks. @ChrisGPotts @chrmanning #AI scpd.stanford.edu/search/publicC…

@SarfarazAbbasiA @StanfordOnline @coursera @edXOnline Hi Sarfaraz - not quite a course but if you're interested, all fo the course videos and assignments are available at the following links: Videos - youtube.com/playlist?list=… Materials - web.stanford.edu/class/cs224n/

@StanfordOnline Make it available as a free MOOC on @coursera or @edXOnline

Excited to announce the launch of our new, artificial intelligence online course! scpd.stanford.edu/search/publicC…

The CS224N lectures are definitely the best resource out there to get an intuition on a lot of core NLP concepts. The 2019 lectures are out here: youtube.com/playlist?list=…

@stanfordnlp #CS224n course is an absolute delight! Particularly love how assignments are structured. They're more like a manual with some DIY element. Similar to how mechanic kits and Lego toys are.

Check out our new online course, Natural Language Processing with Deep Learning taught by @chrmanning and @Abigail_e_see. Learn fundamental concepts of NLP and implement them to develop deep learning models for common applications. #AI #NLProc stanford.io/2YdUtfp

CS224N Natural Language Processing with Deep Learning 2019 @Stanford course videos by @chrmanning, @abigail_e_see & guests are now mostly available (16 of 20). Big update from 2017. YouTube playlist: youtube.com/playlist?list=… – new CS224N online hub: onlinehub.stanford.edu/cs224 #NLProc

With the great help of @StanfordVPTL, lectures 1-5 of my Stanford Reinforcement Learning class web.stanford.edu/class/cs234/in… are now up on youtube: youtube.com/playlist?list=…. More to come! #ReinforcementLearning #Learning4All

Welcome to the Stanford AI Content Hub!

Out now: our new Python #NLProc package. StanfordNLP provides native, neural (PyTorch) tokenization, POS tagging and dependency parsing for 53 languages based on UD v2—and a Python CoreNLP interface. stanfordnlp.github.io/stanfordnlp/ PyPI: pypi.org/project/stanfo… – pip install stanfordnlp

New blog post: @robinomial reports on our reading group discussion of papers by @tallinzen and Adhiguna Kuncoro/@redpony on whether LSTMs can learn syntax-sensitive dependencies well, and whether modeling structure helps nlp.stanford.edu/blog/reading-g…