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Modest Advice for New Graduate Students 1247 retweets

Throughout the course of my years in graduate school, I kept a running list of the best advice given to me, and the strategies that helped keep me sane. Here's the list, in case it proves useful to anyone else:

Lectures from the 2012 Coursera course: Neural Networks for Machine Learning 491 retweets

My Coursera MOOC "Neural Networks for Machine Learning" was prepared in 2012 and is now seriously out of date so I have asked them to discontinue the course. But the lectures are still a good introduction to many of the basic ideas and are available ...

Tech Ethics Curricula: A Collection of Syllabi 418 retweets

In November 2017, I created an openly editable spreadsheet of tech ethics curricula. Now it has almost 200 courses listed, and I've blogged some context. Continue to spread the words, and let's make it an even better resource!

Course repo for Applied Natural Language Processing (Spring 2019) 230 retweets

I'm teaching an Applied NLP class this semester at Berkeley focusing on NLP for text as data, with lots of grad social scientists/humanists. All course materials (Jupyter notebooks, data) are up on Github as the class progresses for anyone to follow...

Natural Language Processing with Dan Jurafsky and Chris Manning, 2012 213 retweets

Our free online lecture series on NLProc: NLP by jurafsky & chrmanning (2012 Coursera nlp-class) from web for ages for tedious reasons but now back! ❦ NLP with Deep Learning by chrmanning & RichardSocher (cs224n 2...

Natural Language Processing with Deep Learning (Winter 2017) 213 retweets

Our free online lecture series on NLProc: NLP by jurafsky & chrmanning (2012 Coursera nlp-class) from web for ages for tedious reasons but now back! ❦ NLP with Deep Learning by chrmanning & RichardSocher (cs224n 2...

Decrappification, DeOldification, and Super Resolution 183 retweets

Wow karpathy just made my day at the PyTorch conference: "I tell everyone to do There's nothing better out there." :) I still refer to his CS231n course notes all the time to figure out how best to explain things...

A Course in Machine Learning 67 retweets

New book "A Course in Machine Learning" by haldaume3 is out: Very practical, w/ excellent layering of info!

Lecture note <Brief Introduction to Machine Learning without Deep Learning> 52 retweets

My lecture note for the undergrad course <Intro to Machine Learning> from this Spring (2017) is available online...

Probabilistic Graphical Models 1: Representation 48 retweets

Learn Probabilistic Graphical Models 1: Representation from Stanford University. Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large ...