Read on Twitter
This year, we curated lots of content on ML in production.
Who we re-tweeted most:
Our absolute favorite @mlopscommunity
@full_stack_dl with amazing applied course and meetups
@MLinProduction with the newsletter we hope will return
@mtlaiethics on all things ML ethics
(1/3)
Who we re-tweeted most:
Our absolute favorite @mlopscommunity
@full_stack_dl with amazing applied course and meetups
@MLinProduction with the newsletter we hope will return
@mtlaiethics on all things ML ethics
(1/3)
@sh_reya on making ML work in the real world
@neal_lathia on his experience leading ML team @Monzo
@chipro on building ML systems
@qethanm on ML strategy and risks
@imightbemary on managing data science
@ChristophMolnar on interpretable ML
(2/3)
@neal_lathia on his experience leading ML team @Monzo
@chipro on building ML systems
@qethanm on ML strategy and risks
@imightbemary on managing data science
@ChristophMolnar on interpretable ML
(2/3)
@peteskomoroch on building ML products
@beeonaposy on all things data
@CharlieYouAI on bringing AI out of the lab
@adamlaiacano on ML engineering
@v_vashishta on monetising ML
@eugeneyan on applied data science
Subscribe, and let us know who else we should follow!
(3/3)
@beeonaposy on all things data
@CharlieYouAI on bringing AI out of the lab
@adamlaiacano on ML engineering
@v_vashishta on monetising ML
@eugeneyan on applied data science
Subscribe, and let us know who else we should follow!
(3/3)
