How can managers save time on Datascience Projects?

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Talking AWS for Datascience

Kalicharan m

13 episodes

5 days 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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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...

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How can managers save time on Datascience Projects?

Talking AWS for Datascience

12 minutes 23 seconds

3 years ago

How can managers save time on Datascience Projects?

Managing your datascience projects is different from managing your typical IT projects. Here we provide tips on how managers can use AWS Sagemaker Feature store to save time and streamline the entire process of feature engineering across their datascience projects.