Artwork

Content provided by AWS Bites. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS Bites or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

46. How do you do machine learning on AWS?

23:37
 
Share
 

Manage episode 335091181 series 2980070
Content provided by AWS Bites. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS Bites or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The public cloud gives you amazing machine learning powers with a low barrier to entry. Once you know where to begin, you can quickly build solutions to process images, video, text and audio, as well as structured data. In this episode we talk about the managed AI services that are available on AWS and that require zero machine learning expertise (Rekognition, Polly, Transcribe, Forecast, Personalise, Comprehend, Lex, Textract, Translate). We will also talk about services you can use to create and run your own custom models (SageMaker). We will finally cover some different use cases and some of the things you need to consider before you do machine learning in production.

In this episode, we mentioned the following resources:

- AI as a Service book https://www.manning.com/books/ai-as-a-service

- Julien Simon’s YouTube channel: https://www.youtube.com/c/juliensimonfr

- Article by MIT researchers “Amazon’s Rekognition shows gender and ethnic bias”: https://venturebeat.com/2019/01/24/amazon-rekognition-bias-mit/

- Article “One year moratorium on police use of Rekognition”: https://www.aboutamazon.com/news/policy-news-views/we-are-implementing-a-one-year-moratorium-on-police-use-of-rekognition

This episode is also available on YouTube: https://www.youtube.com/AWSBites

You can listen to AWS Bites wherever you get your podcasts:

- Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-bites/id1585489017

- Spotify: https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q

- Google: https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw==

- Breaker: https://www.breaker.audio/aws-bites

- RSS: ​​https://anchor.fm/s/6a3312a0/podcast/rss

Do you have any AWS questions you would like us to address?

Leave a comment here or connect with us on Twitter:
- https://twitter.com/eoins
- https://twitter.com/loige

  continue reading

150 episodes

Artwork

46. How do you do machine learning on AWS?

AWS Bites

51 subscribers

published

iconShare
 
Manage episode 335091181 series 2980070
Content provided by AWS Bites. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by AWS Bites or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

The public cloud gives you amazing machine learning powers with a low barrier to entry. Once you know where to begin, you can quickly build solutions to process images, video, text and audio, as well as structured data. In this episode we talk about the managed AI services that are available on AWS and that require zero machine learning expertise (Rekognition, Polly, Transcribe, Forecast, Personalise, Comprehend, Lex, Textract, Translate). We will also talk about services you can use to create and run your own custom models (SageMaker). We will finally cover some different use cases and some of the things you need to consider before you do machine learning in production.

In this episode, we mentioned the following resources:

- AI as a Service book https://www.manning.com/books/ai-as-a-service

- Julien Simon’s YouTube channel: https://www.youtube.com/c/juliensimonfr

- Article by MIT researchers “Amazon’s Rekognition shows gender and ethnic bias”: https://venturebeat.com/2019/01/24/amazon-rekognition-bias-mit/

- Article “One year moratorium on police use of Rekognition”: https://www.aboutamazon.com/news/policy-news-views/we-are-implementing-a-one-year-moratorium-on-police-use-of-rekognition

This episode is also available on YouTube: https://www.youtube.com/AWSBites

You can listen to AWS Bites wherever you get your podcasts:

- Apple Podcasts: https://podcasts.apple.com/us/podcast/aws-bites/id1585489017

- Spotify: https://open.spotify.com/show/3Lh7PzqBFV6yt5WsTAmO5q

- Google: https://podcasts.google.com/feed/aHR0cHM6Ly9hbmNob3IuZm0vcy82YTMzMTJhMC9wb2RjYXN0L3Jzcw==

- Breaker: https://www.breaker.audio/aws-bites

- RSS: ​​https://anchor.fm/s/6a3312a0/podcast/rss

Do you have any AWS questions you would like us to address?

Leave a comment here or connect with us on Twitter:
- https://twitter.com/eoins
- https://twitter.com/loige

  continue reading

150 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Copyright 2025 | Privacy Policy | Terms of Service | | Copyright
Listen to this show while you explore
Play