{"id":1241,"date":"2021-11-20T08:29:16","date_gmt":"2021-11-20T08:29:16","guid":{"rendered":"https:\/\/salarydistribution.com\/machine-learning\/2021\/11\/20\/aws-ai-ml-community-attendee-guides-to-aws-reinvent-2021\/"},"modified":"2021-11-20T08:29:16","modified_gmt":"2021-11-20T08:29:16","slug":"aws-ai-ml-community-attendee-guides-to-aws-reinvent-2021","status":"publish","type":"post","link":"https:\/\/salarydistribution.com\/machine-learning\/2021\/11\/20\/aws-ai-ml-community-attendee-guides-to-aws-reinvent-2021\/","title":{"rendered":"AWS AI\/ML Community attendee guides to AWS re:Invent 2021"},"content":{"rendered":"
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The AWS AI\/ML Community has compiled a series of session guides to AWS re:Invent 2021 to help you get the most out of re:Invent this year. They covered four distinct categories relevant to AI\/ML. With a number of our guide authors attending re:Invent virtually, you will find a balance between virtually accessible sessions and sessions available in-person.<\/p>\n

The AWS AI\/ML Community is a vibrant group of developers, data scientists, researchers, and business decision-makers that dive deep into artificial intelligence and machine learning (ML) concepts, contribute with real-world experiences, and collaborate on building projects together.<\/p>\n

Community guides for developers new to machine learning<\/h2>\n

From AWS ML Hero Mike Chambers AWS reInvent 2021: How To, tips, and my session selection (video)<\/a>. In this video\u2014which should be required viewing for anyone new to re:Invent\u2014Mike dives deep, beyond simply recommending sessions, with loads of tips and advice for how to make the most of your re:Invent experience\u2014in-person or virtual.<\/p>\n

AWS ML Hero Cyrus Wong\u2019s top five AL\/ML newbies should attend!<\/a> For folks new to ML on AWS, spend your time leaning and making use of Amazon AI\/ML services with Cyrus\u2019s top five re:Invent sessions.<\/p>\n

AWS re:Invent 2021: How to maximize your in-person learning experience as a new Machine Learning practitioner, from AWS ML Community Builder Martin Paradesi.<\/a> For those attending re:Invent in-person this year, check out Martin\u2019s guide for five sessions curated for new ML practitioners.<\/p>\n

From our new Egypt-based AWS ML Hero Salah Elhossiny: Top 5 AWS ML Sessions to Attend at AWS re:Invent 2021<\/a>. For those new to AWS ML, spend your time learning and using Amazon SageMaker<\/a> with the best five AWS re:Invent sessions to help you get started quickly!<\/p>\n

Community guides for AI\/ML developers<\/h2>\n

AWS ML Hero Juv Chan\u2019s top five recommendations for AI\/ML builders and architects.<\/a> Juv, a Sr. Cloud AI Engineer\/Architect, ML Hero, and re:Invent Championship Cup 2019 finalist, shares his top five session picks and can\u2019t miss photos from re:Invent 2019.<\/p>\n

Top 5 Sessions for AI\/ML Developers at AWS re:Invent 2021, from AWS ML Community Builder Brooke Jamieson<\/a>. For those attending re:Invent virtually this year, check out Brooke\u2019s guide.<\/p>\n

AWS ML Hero Tomasz Ptak\u2019s AWS re:Invent 2021 schedule<\/a>. Tomasz shares his session picks plus tips and advice for making the most of your re:Invent experience.<\/p>\n

Production-grade ML re:Invent 2021 sessions guide, from AWS ML Community Builder Kyle Gallatin<\/a>. Builder Kyle Gallatin shares five ML talks skewed towards his interests in scalable, production-grade ML.<\/p>\n

Community guides for MLOps developers<\/h2>\n

AWS ML Hero Rustem Feyzkhanov\u2019s top MLOps breakout sessions to look forward to at re:Invent 2021<\/a>. Rustem shares seven sessions to help you stay in the loop of MLOps in the AWS Cloud.<\/p>\n

AWS ML Community Builder Phil Basford\u2019s must-see sessions<\/a>. For those interested in MLOps, ML architecture, edge computing, or data analytics, see Phil\u2019s guide and his tips on how to have fun in Vegas and at home for those attending virtually.<\/p>\n

Community guides for ML data scientists<\/h2>\n

AWS ML Hero\u2019s Philipp Schmid\u2019s remote guide for your virtual re:Invent 2021, focused on NLP and machine learning<\/a>. Attending remote from Germany, Hugging Face ML engineer and AWS ML Hero Philipp Schmid offers an in-depth guide.<\/p>\n

AWS ML Community Builder Pier Paolo Ippolito\u2019s top five suggestions for ML data scientists<\/a>. Pier, a data scientist at SAS and editor at Towards Data Science, shares his top five picks curated for technical ML builders.<\/p>\n

Other AWS ML Community guides worth exploring<\/h2>\n

AWS ML Hero Kesha Williams\u2019s Machine Learning Attendee Guide 2021<\/a>. The official AWS Hero guide from Kesha dives deep across all session categories. Check this guide out for a full walkthrough of how to build your schedule, and the ultimate deep dive into Kesha\u2019s ML session picks.<\/p>\n

Lastly, we have a unique in-depth guide from AWS ML Community Builder Janos Tolgyesi. Learn how to fight climate change with ML skills and make the Earth a better place with ML at re:Invent 2021<\/a>. Janos shares his sessions picks and a bonus session suggestion for those interested in beer, plus personalized recommendations!<\/p>\n

Whether you\u2019re attending in-person or virtually this year, we hope these recommendations and advice from the AWS ML Community help you make the most of your re:Invent experience. Have a great re:Invent!<\/p>\n

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About the Author<\/h3>\n

\"\"Paxton Hall<\/strong> is a Marketing Program Manager for the AWS AI\/ML Community on the AI\/ML Education team at AWS. He has worked in retail and experiential marketing for the past 7 years, focused on developing communities and marketing campaigns. Out of the office, he\u2019s passionate about public lands access and conservation, and enjoys backcountry skiing, climbing, biking, and hiking throughout Washington\u2019s Cascade mountains.<\/p>\n

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