SigOpt

machine learning deep learning hyperparameters hyperparameter optimization bayesian optimization hyperparameter tuning optimization modeling at scale artificial intelligence ai model tuning multimetric optimization sigopt parameter tuning parallel training multitask optimization image classification best practices for machine learning systematic modeling systematic trading architecture search model optimization experiment management cluster orchestration algorithmic trading grid search aws tensorflow data science natural language metric constraints data augmentation simulations two sigma feature selection cluster management infrastructure devops mxnet neon random search saas trading size reduction question answering model management experimentation distillbert squad bert nlu nlp open data previous information priors warm start metric thresholds metric management early stopping metric strategy paralle tuning how optimization works tradeoffs enterprise advanced optimization long-training finance multiobjective optimization multicriteria optimization reinforcement learning technology engineering software glass box optimization black-box optimization modeling process backtests expensive model training enterprise ai model development evolutionary algorithms quantitative trading assets under management model training training management quantcon amazon web services mlconf gpu nvidia xgboost tuning