Talking AWS for Datascience

By Kalicharan m

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Category: Technology

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Subscribers: 2
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Episodes: 13

Description

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

Episode Date
Demand Forecast made easy
Sep 09, 2022
How can managers save time on Datascience Projects?
Aug 25, 2022
Talking to CEO of an IIOT based AI Startup
Aug 20, 2022
Understanding Bias and Variance
Jul 29, 2022
Monitor ML models in Production
Jul 22, 2022
Machine Learning with Zero Code
Jul 08, 2022
Implementing MLOps on AWS
Jun 30, 2022
How to build data pipelines on AWS?
Jun 23, 2022
How startups build an AI Webapp under 11 minutes
Jun 16, 2022
Introduction to AWS Step Functions
Jun 09, 2022
All about AWS Sagemaker Datawrangler
Jun 02, 2022
AWS Lambda for Datascience
May 26, 2022
Using AWS Athena for Datascience
May 19, 2022