blog_posts: 228d12dffb
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id | createdDate | title | link | postExcerpt | featuredImageUrl | hash | contributors | modifiedDate | displayDate |
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blog-posts#33-13787 | 2020-11-23 23:07:23 | Data preprocessing for machine learning on Amazon EMR made easy with AWS Glue DataBrew | https://aws.amazon.com/blogs/big-data/data-preprocessing-for-machine-learning-on-amazon-emr-made-easy-with-aws-glue-databrew/ | The machine learning (ML) lifecycle consists of several key phases: data collection, data preparation, feature engineering, model training, model evaluation, and model deployment. The data preparation and feature engineering phases ensure an ML model is given high-quality data that is relevant to the model’s purpose. Because most raw datasets require multiple cleaning steps (such as [...] | https://d2908q01vomqb2.cloudfront.net/b6692ea5df920cad691c20319a6fffd7a4a766b8/2020/11/21/AWS-Glue-DataBrew-1-300x195.jpg | 228d12dffb | Kartik Kannapur, Bala Krishnamoorthy, Prithiviraj Jothikumar | 2022-10-21 03:11:43 | 23 Nov 2020 |
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