Thread by @DeepMind

We have research scientist @seb_ruder up next with more #AtHomeWithAI recommendations!

He suggests the Deep Learning Book from @mitpress for a comprehensive introduction to the fundamentals of DL: bit.ly/351qMzb (1/7)

Overwhelmed with the number of available machine learning courses? @seb_ruder recommends taking a look through @venturidb’s curated - and ranked - list available on @freeCodeCamp.

bit.ly/3erZEN4 #AtHomeWithAI

Do you have a technical background? Are you looking for an introduction to natural language processing?

Sebastian recommends the @fastdotai course, “A Code-First Introduction to Natural Language Processing”.

bit.ly/3esFtP8 #AtHomeWithAI

Keen to learn more about natural language processing? If so, @seb_ruder has two other suggestions - both from @Stanford.

stanford.io/3ep7R4M & stanford.io/2ZGJZFP

#AtHomeWithAI

Sebastian’s next recommendation is one that attempts to bring natural-language researchers up to speed with neural techniques.

See @yoavgo’s primer on neural network models here: bit.ly/3eth9Ni #AtHomeWithAI

Interested in understanding how many of the most popular gradient-based optimisation algorithms actually work?

@seb_ruder suggests reading through his blog on the topic: bit.ly/2ZI3Fck #AtHomeWithAI

Sebastian’s final recommendation is NLP-progress, a community-driven website that lists a large number of tasks, datasets & state-of-the-art results in natural language processing: bit.ly/3gvh1i3

Have your own recommendations? Let us know below. #AtHomeWithAI