AWS AI & Machine Learning Podcast
21 episodes - English - Latest episode: over 3 years ago -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.
Homepage Google Podcasts Overcast Castro Pocket Casts RSS feed
Episodes
Episode 20: pre:Invent!
December 01, 2020 14:00 - 12 minutes - 8.78 MBIn this episode, I go through our November announcements on all AI/ML services. This is a great way to catch up before AWS re:Invent starts ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ For more content: * AWS blog: https://aws.amazon.com/blogs/aws/auth... * Medium blog: https://julsimon.medium.com * YouTube: https://youtube.com/juliensimonfr * Podcast: http://julsimon.buzzsprout.com * Twitter https://twitter.com/@julsimon
Episode 19: AWS News
June 24, 2020 14:00 - 18 minutes - 12.7 MBIn this episode, I go through our latest announcements on Amazon Polly, Amazon Rekognition, Amazon Lex, Amazon Personalize, and Amazon SageMaker Ground Truth. I demo how to use a Lex chatbot for search queries on Kendra. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Rekognition blog post: https://aws.amazon.com/blogs/media/streamline-media-analysis-tasks-with-amazon-rekognition-video/ Kendra blog post: https://aws.amazon.com/blogs/aws/reinventing-enterprise-sear...
Episode 18: AWS News
May 22, 2020 07:00 - 15 minutes - 10.5 MBIn 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. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ For more content: * AWS blog: https://aws.amazon.com/blogs/aws/auth... * Medium blog: https://medium.com/@julsimon * YouTube: https://youtube.com/...
Episode 17: AWS news
May 01, 2020 14:00 - 10 minutes - 7.43 MBIn 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: * https://aws.amazon.com/blogs/machine-learning/announcing-availability-of-inf1-instances-in-amazon-sagemaker-for-high-performance-and-cost-effective-machine-learning-inference/ * https://aws.amazon.com/blogs/aws/announcing-torchserve-an-op...
Episode 17 - AWS news
May 01, 2020 14:00 - 10 minutes - 7.43 MBIn 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: * https://aws.amazon.com/blogs/machine-learning/announcing-availability-of-inf1-instances-in-amazon-sagemaker-for-high-performance-and-cost-effective-machine-learning-inference/ * https://aws.amazon.com/blogs/aws/announcing-torchserve-an-op...
Episode 16: AWS news
April 20, 2020 15:00 - 11 minutes - 7.89 MBIn 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 future episodes ⭐️⭐️⭐️ For more content: * AWS blog: https://aws.amazon.com/blogs/aws/auth... * Medium blog: https://medium.com/@julsimon * YouTube: https://youtube.com/juliensimonfr * Podcast: http://julsimon.buzzsprout.com * Twitter https://twit...
Episode 15: AWS news
April 07, 2020 12:00 - 11 minutes - 8.02 MBIn 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/ Amazon Transcribe Medical demo: https://www.youtube.com/watch?v=_FoA5DZn7M8 Amazon Personalize blog post: https://aws.ama...
Episode 14: AWS news
March 20, 2020 15:00 - 12 minutes - 8.56 MBIn 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 mentioned in the podcast: AWS Solutions: https://aws.amazon.com/solutions/ Amazon SageMaker Ground Truth end to end demo: https://www.youtube.com/watch?v=oEcH8amMcT8 Amazon Elastic Inference: https://aws.amazon.com/b...
Episode 13: Amazon Kendra special
March 11, 2020 11:00 - 14 minutes - 10.3 MBIn 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 sources, and then I run queries using the AWS console and the AWS CLI. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ https://aws.amazon.com/kendra/ This podcast is also available in video at https://youtu.be/sd6Ydg0wAPs For more content, follow me on: * Medi...
Episode 12: AWS news and demos
March 03, 2020 10:00 - 18 minutes - 13 MBIn 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 share a couple of SageMaker videos that I recently recorded. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources mentioned in the podcast: Amazon Transcribe blog post: https://aws.am...
Episode 11: XGBoost special
February 24, 2020 17:00 - 18 minutes - 13 MBIn 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 included, of course! ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources mentioned in the podcast: * XGBoost built-in algo: https://gitlab.com/juliensimon/ent321 * XGBoost built-in framework: https://git...
Episode 10: AWS news and demos
February 17, 2020 21:00 - 10 minutes - 7.25 MBIn 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 recorded, and an upcoming SageMaker webinar. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources mentioned in the podcast: * Amazon Polly Brand Voice: https://aws.amazon.com/blogs/machine-learnin...
Episode 9
February 11, 2020 15:00 - 21 minutes - 14.8 MBIn 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, how they’re related, and why you need both on your team to build successful projects. Much to my sorrow, Leo also convincingly explains why you have to learn math to build the best models. ⭐️⭐️⭐️ Don't forget to subscribe to b...
Episode 8
February 03, 2020 11:00 - 20 minutes - 13.9 MBIn 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 datasets, picking algos, deploying to production, and more. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ This podcast is also available in video at https://youtu.be/74LwQP9oKU4 For...
Episode 7
January 27, 2020 09:00 - 17 minutes - 12.3 MBIn 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, why model explainability is so important, and more. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Francesco's Twitter: @Fra_Pochetti Francesco's blog: https://francescopochetti.com/ This podcast is also available in video at https://youtu.be/D...
Episode 6
January 19, 2020 15:00 - 15 minutes - 10.6 MBIn 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, and more. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Cosmin's Twitter: https://twitter.com/cosminsanda Cosmin's blog: https://cosminsanda.com/ Apache MXNet User Group in Copenhagen: ht...
Episode 5
January 13, 2020 22:00 - 12 minutes - 8.87 MBIn 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 - multi-label classification: https://aws.amazon.com/about-aws/whats-new/2020/01/amazon-comprehend-launches-multi-label-custom-classification/ * Amazon Translate - batch translation: https://aws.amazon.com/about-aws/whats-new/2020/01/amazon-translate-intro...
Episode 4
January 05, 2020 20:00 - 17 minutes - 12 MBIn 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. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Check out Sagify, an excellent CLI tool for Amazon SageMaker written by Pavlos: * https://kenza-ai.github.io/sagify/ * End to end demo: https://youtu.be/cWv8zR2Qu94 This podcast is also available in vid...
Episode 3: Machine Learning from A to Z
December 30, 2019 13:00 - 34 minutes - 23.4 MBIn 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 to be notified of future episodes ⭐️⭐️⭐️ Audio samples have been generated with Amazon Polly :) The podcast is hosted at https://julsimon.buzzsprout.com, and is also available on YouTube at https://bit.ly/368Iz7g. For more content, follow me at https://medium.c...
Episode 2: TensorFlow 2.0 special!
December 25, 2019 19:00 - 19 minutes - 13.5 MBIn 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 Learning Containers, and Amazon SageMaker. ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources: * TensorFlow on AWS: https://aws.amazon.com/tensorflow * My SageMaker notebook: https://gitlab.com/juliensimon/dlnotebooks/tree/mast...
Episode 1
December 23, 2019 19:00 - 10 minutes - 7.02 MBIn this episode, I talk about new features on Amazon Lex (chatbots), Amazon Textract (text extraction), Amazon Personalize (recommendation & personalization), and Amazon Transcribe (speech to text). I also demo profanity filtering with Transcribe (run for cover!). ⭐️⭐️⭐️ Don't forget to subscribe to be notified of future episodes ⭐️⭐️⭐️ Additional resources mentioned in the podcast: * Amazon SageMaker Ground Truth demo: https://www.youtube.com/watch?v=oEcH8amMcT8 * Amazon Textract demo: ht...