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Talking AWS for Datascience
Kalicharan m
13 episodes
1 week ago
Implementing Data science on AWS could be a daunting task, but if you know the right kind of tools to use then then life of a data scientist becomes very easy. In this podcast, two data science experts Kali and Deepti having more than 2 decades of software development experience talk about our experience of implementing successful data science projects with the help of AWS Cloud. Hopefully our conversions on using the AWS services will help you become a great data scientist. Please give your feedback by sending an email to mkalicharan42@gmail.com
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Technology
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All content for Talking AWS for Datascience is the property of Kalicharan m and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
Implementing Data science on AWS could be a daunting task, but if you know the right kind of tools to use then then life of a data scientist becomes very easy. In this podcast, two data science experts Kali and Deepti having more than 2 decades of software development experience talk about our experience of implementing successful data science projects with the help of AWS Cloud. Hopefully our conversions on using the AWS services will help you become a great data scientist. Please give your feedback by sending an email to mkalicharan42@gmail.com
Show more...
Technology
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All about AWS Sagemaker Datawrangler
Talking AWS for Datascience
14 minutes 54 seconds
3 years ago
All about AWS Sagemaker Datawrangler

Listen to Kali and Deepti talk about how SageMaker Data Wrangler can be used for data preparation and feature engineeringwalk you thorough use cases of data preparation workflows, including data selection, cleansing, exploration, and visualization. We talk about few examples in ver 300 built-in data transformations of SageMaker Data Wrangler so you can quickly normalize, transform, and combine features which saves a lot of time for the users without having to write code

Talking AWS for Datascience
Implementing Data science on AWS could be a daunting task, but if you know the right kind of tools to use then then life of a data scientist becomes very easy. In this podcast, two data science experts Kali and Deepti having more than 2 decades of software development experience talk about our experience of implementing successful data science projects with the help of AWS Cloud. Hopefully our conversions on using the AWS services will help you become a great data scientist. Please give your feedback by sending an email to mkalicharan42@gmail.com