In this meetup series we'll go through Fast.AI's new NLP course by Rachel Thomas. Potentially we'll also engage in a project.
Preparation: Watch NLP Video 3,4,5. Prepare notebook 2b, 3, 3b
During meetup: Discuss video content and details
From the website:
Our newest course is a code-first introduction to NLP, following the fast.ai teaching philosophy of sharing practical code implementations and giving students a sense of the “whole game” before delving into lower-level details. Applications covered include topic modeling, classfication (identifying whether the sentiment of a review is postive or negative), language modeling, and translation. The course teaches a blend of traditional NLP topics (including regex, SVD, naive bayes, tokenization) and recent neural network approaches (including RNNs, seq2seq, attention, and the transformer architecture), as well as addressing urgent ethical issues, such as bias and disinformation. Topics can be watched in any order.
Video 3-5: July 18th
(Video 4-5: July 25th)