# Model development
<a name="cost-model-development"></a>

**Topics**
+ [MLCOST04-BP01 Select optimal computing instance size](mlcost04-bp01.md)
+ [MLCOST04-BP02 Use managed build environments](mlcost04-bp02.md)
+ [MLCOST04-BP03 Select local training for small scale experiments](mlcost04-bp03.md)
+ [MLCOST04-BP04 Select an optimal ML framework](mlcost04-bp04.md)
+ [MLCOST04-BP05 Use automated machine learning](mlcost04-bp05.md)
+ [MLCOST04-BP06 Use managed training capabilities](mlcost04-bp06.md)
+ [MLCOST04-BP07 Use distributed training](mlcost04-bp07.md)
+ [MLCOST04-BP08 Stop resources when not in use](mlcost04-bp08.md)
+ [MLCOST04-BP09 Start training with small datasets](mlcost04-bp09.md)
+ [MLCOST04-BP10 Use warm start and checkpointing hyperparameter tuning](mlcost04-bp10.md)
+ [MLCOST04-BP11 Use hyperparameter optimization technologies](mlcost04-bp11.md)
+ [MLCOST04-BP12 Set up a budget and use resource tagging to track costs](mlcost04-bp12.md)
+ [MLCOST04-BP13 Enable data and compute proximity](mlcost04-bp13.md)
+ [MLCOST04-BP14 Select optimal algorithms](mlcost04-bp14.md)