AWS AI & Machine Learning Podcast

By Julien Simon

Technology Tech News Education

What's AWS AI & Machine Learning Podcast about?

This podcast is hosted by Julien Simon, Global Evangelist for AI and Machine Learning at Amazon Web Services. It covers everything you need to know about AI and ML on AWS: new features, demos, conversation and more! The podcast is hosted at https://julsimon.buzzsprout.com, and is also available on YouTube at https://bit.ly/368Iz7g.

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LAST EPISODE

Episode 18: AWS News

05.22.2020

In this episode, I go through our latest announcements on Amazon Forecast, Amazon Code Guru, Amazon Transcribe, and the AWS Deep Learning Containers. I demo real-time profanity filtering with Transcribe (run for cover), and Elastic Inference with TensorFlow and SageMaker. ...

AWS AI & Machine Learning Podcast episodes:

05.22.2020 Episode 18: AWS News In this episode, I go through our latest announcements on Amazon Forecast, Amazon Code Guru, Amazon Transcribe, and the AWS Deep Learning Containers. I demo real-time profanity filtering with Transcribe (run for cover), and Elastic Inference with TensorFlow and SageMaker. ...
05.01.2020 Episode 17: AWS news In this episode, I go through our latest announcements on AWS Amazon Augmented AI, Amazon SageMaker Studio, Amazon Sagemaker, and PyTorch. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ AWS blog posts mentioned in the podcast: ...
04.20.2020 Episode 16: AWS news In this episode, I go through our latest announcements on AWS Textract, Amazon Polly. AWS DeepLens, Amazon SageMaker, and the AWS Deep Learning Composers. A couple of small demos are included. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of ...
04.07.2020 Episode 15: AWS news In this episode, I go through our latest announcements on AWS DeepComposer, Amazon Transcribe Medical, and Amazon Personalize. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources mentioned in the podcast:AWS DeepComposer blog post: https://aws.amazon.com/blogs/aws/aws-deepcomposer-now-generally-available-with-new-features/ ...
03.20.2020 Episode 14: AWS news In this episode, I go through our latest announcements on Amazon Forecast, Amazon Personalize, Amazon SageMaker Ground Truth, AWS Deep Learning AMIs, and Amazon Elastic Inference. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources ...
03.11.2020 Episode 13: Amazon Kendra special In this episode, I focus on Amazon Kendra, an enterprise search service powered by machine learning... but you don't need any ML skills to set it up and use it! I show you how to create an index, add data ...
03.03.2020 Episode 12: AWS news and demos In this episode, I go through our latest announcements on Amazon Transcribe, Amazon Rekognition, Amazon Forecast and the Deep Learning Containers. I do a couple of demos (redacting personal information in text transcripts, and extracting text from videos). Finally, I ...
02.24.2020 Episode 11: XGBoost special In this episode, I talk about XGBoost 1.0, a major milestone for this very popular algorithm. Then, I discuss the three options you have for running XGBoost on Amazon SageMaker: built-in algo, built-in framework, and bring your own container. Code ...
02.17.2020 Episode 10: AWS news and demos In this episode, I cover new features on Amazon Personalize (recommendation & personalization), Amazon Polly (text to speech), and Apache MXNet (Deep Learning). I also point out new notebooks for Amazon SageMaker Debugger, a couple of recent videos that I ...
02.11.2020 Episode 9 In this episode, I have a chat with Leo Souquet, a Data Scientist and the co-founder of the Data Science Tech Institute (https://www.datasciencetech.institute). DSTI trains Data Scientists and Data Engineers, and we chat about those two roles, their respective skills, ...
02.03.2020 Episode 8 In this episode, I have a chat with Ségolène Dessertine-Panhard, a Data Scientist with the AWS Machine Learning Solutions Lab (https://aws.amazon.com/ml-solutions-lab/). As she spends her time working on customer projects, we talk about ML in the trenches: framing problems, building ...
01.27.2020 Episode 7 In this episode, I have a chat with Francesco Pochetti, a Data Scientist who worked on Amazon Kindle for 4 years. He's also an AWS Machine Learning Hero. We talk about real life ML, how to deal with business stakeholders, ...
01.19.2020 Episode 6 In this episode, I have a chat with Cosmin Catalin Sanda, a Data Science Engineer for AudienceProject (https://www.audienceproject.com). We talk about real life ML, what it takes for ML projects to be successful (experimentation, agility, intuition, etc.), how SageMaker helps, ...
01.13.2020 Episode 5 In this episode, I talk about a couple of recent features, share some extra resources, and point you to pretty cool computer vision demo. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ News * Amazon Comprehend ...
01.05.2020 Episode 4 In this episode, I have a chat with Pavlos Mitsoulis-Ntompos, a Data Scientist for the Expedia Group and an AWS Machine Learning Hero. We talk about real life ML, and what it takes for ML projects to be successful. ⭐️⭐️⭐️ ...
12.30.2019 Episode 3: Machine Learning from A to Z In this episode, I explain in plain English 26 Machine Learning and Deep Learning terms that you need to know. If you're beginning with the field, this should save you quite a bit of frustration! ⭐️⭐️⭐️ Don't forget to subscribe ...
12.25.2019 Episode 2: TensorFlow 2.0 special! In this episode, I focus on TensorFlow 2.0, the most popular open source library for Machine Learning. I explain in detail how it differs from TensorFlow 1.x, and how you can start using it on AWS: Deep Learning AMIs, Deep ...