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Talking AWS for Datascience
Kalicharan m
13 episodes
4 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...
Technology
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How startups build an AI Webapp under 11 minutes
Talking AWS for Datascience
11 minutes 42 seconds
3 years ago
How startups build an AI Webapp under 11 minutes

We all learn datascience in courses and get certifications but always in short of realtime projects. Here we talk how startups can build an end to end AI Webapp using AWS. We talk about an image classification example and talk about the end to end pipeline.Data ingestion, Data Labelling, Model Building, Model Inference and hosting a webapp. The services we talk about in this episode are AWS Amplify, AWS Lambda, API Gateway, Sagemaker, AutoML, Elastic Beanstalk and EC2

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