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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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Introduction to AWS Step Functions
Talking AWS for Datascience
11 minutes 7 seconds
3 years ago
Introduction to AWS Step Functions

Having a visual flow chart of the entire piece of code is definitely a huge advantage while building a product. It enables a seamless way to debug at any point of time. AWS step functions step functions as a service, where in with a simple click of a button you could visually keep track of what is going on. Moreover, the console also highlights errors by which you could quickly pin point and trouble shoot them. In this episode, the discussion is to introduce this seamless approach to build Data science models and deploy them using AWS Step Functions.

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