Further reading

To learn more about the topics we discussed in this chapter, please refer to the following resources:

• Adult dataset at UC Irvine’s Machine Learning Repository: https://archive.ics.uci.edu/ml/datasets/Adult
• Amazon SageMaker Data Wrangler: https://aws.amazon.com/sagemaker/data-wrangler/
• Amazon SageMaker Data Wrangler documentation: https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler.html
• Amazon SageMaker Data Wrangler visualization: https://docs.aws.amazon.com/sagemaker/latest/dg/data-wrangler-analyses.html
• Random forest regressor used in SageMaker Data Wrangler: https://spark.apache.org/docs/latest/ml-classification-regression.html#random-forest-regression
• Random forest classifier used in SageMaker Data Wrangler: https://spark.apache.org/docs/latest/ml-classification-regression.html#random-forest-classifier
• Data bias reports: https://docs.aws.amazon.com/sagemaker/latest/dg/data-bias-reports.html
• Amazon EC2 G4 instances...