Machine Learning frameworks have gone through various transitions over the years. The "mainstream" ML framework has changed in identity ever 5 years. In this talk, we first recap ML frameworks through the lens of a few variables and factors. We then subsequently project the future for ML frameworks as a distribution over these variables. Lastly, I sample a few ideas of how the future might look like based on some general bets.
![](https://s2.save4k.ru/pic/u1ngTWWAFec/mqdefault.jpg)