AI and Machine Learning: Difference between revisions

Jump to navigation Jump to search
Marked this version for translation
No edit summary
(Marked this version for translation)
Line 117: Line 117:
Note that Comet and Wandb are not currently available on Graham.
Note that Comet and Wandb are not currently available on Graham.


== Large Scale Machine Learning (Big Data) ==
== Large Scale Machine Learning (Big Data) == <!--T:40-->


<!--T:41-->
Modern Deep Learning packages like pytorch and tensorflow include utilities to handle large scale training natively and tutorials on how to do it abound. Scaling classic Machine Learning (i.e., not Deep Learning) methods, however, is not as widely discussed and can often be a frustrating problem to solve. [[Large_Scale_Machine_Learning_(Big_Data)|This guide]] contains ideas and practical options, along with tutorials, to tackle training classic ML models on very large datasets.
Modern Deep Learning packages like pytorch and tensorflow include utilities to handle large scale training natively and tutorials on how to do it abound. Scaling classic Machine Learning (i.e., not Deep Learning) methods, however, is not as widely discussed and can often be a frustrating problem to solve. [[Large_Scale_Machine_Learning_(Big_Data)|This guide]] contains ideas and practical options, along with tutorials, to tackle training classic ML models on very large datasets.


rsnt_translations
56,420

edits

Navigation menu