Artificial Intelligence
Author: Munish Dabra
Munish Dabra is a Principal Solutions Architect at Amazon Web Services (AWS). His current area of focus are AI/ML and Observability. He has a strong background in designing and building scalable distributed systems. He enjoys helping customers innovate and transform their businesses on AWS. LinkedIn: /mdabra
Optimize data preparation with new features in Amazon SageMaker Data Wrangler
Data preparation is a critical step in any data-driven project, and having the right tools can greatly enhance operational efficiency. Amazon SageMaker Data Wrangler reduces the time it takes to aggregate and prepare tabular and image data for machine learning (ML) from weeks to minutes. With SageMaker Data Wrangler, you can simplify the process of […]
Tune ML models for additional objectives like fairness with SageMaker Automatic Model Tuning
Model tuning is the experimental process of finding the optimal parameters and configurations for a machine learning (ML) model that result in the best possible desired outcome with a validation dataset. Single objective optimization with a performance metric is the most common approach for tuning ML models. However, in addition to predictive performance, there may […]