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Attendee guide: Machine learning

This guide is for re:Invent participants who are working to help organizations across all industries get to know their customers better and leverage their results through machine learning and data techniques and tools.

Vinicius Caridá

 

 

AWS Machine Learning Hero

Vinicius Caridá

 

As an AWS ML Hero, I firmly believe that machine learning is the next wave of transformative technology that will change life in unimaginable ways. I’ve helped many developers find their path to machine learning using AWS.

 

I’m super excited that re:Invent 2022 is almost here! As you plan your agenda, there are several exciting machine learning breakout sessions, hands-on workshops, deep-dive chalk talks, and more designed for developers, data scientists, executives, and business professionals looking to better understand the technology and quickly bring new ideas to life.

 

Your journey in machine learning can start simply and quickly, but is always adding value to your main goals and evolving to build complete and 100% customized solutions.

 

This re:Invent guide gives you virtually all the information you need to maximize the time you spend leveling up your machine learning skills.

Recommendations

Breakout content

INO104 AI/ML at Amazon.com

SPT102 How the NFL is innovating with AWS and Amazon Prime Video

DPR102 Drive collaboration and ML learning like JPMorgan Chase with AWS DeepRacer

AIM210 Solve common business problems with AWS AI/ML services

AIM204 Automate insurance document processing with AI

BIZ201 Improving multichannel communications

AIM208 Idea to production on Amazon SageMaker, with Thomson Reuters

AIM302 Deploy ML models for inference at high performance & low cost, feat. AT&T

Recommendations

Workshops

 

DPR202-R AWS DeepRacer: Get hands-on with machine learning

AIM201 Accelerate the ML lifecycle with Amazon SageMaker low-code tools

Recommendations

Labs

 

TNC216 A day in the life of a data engineer

TNC107 Use Amazon SageMaker Canvas to make your first ML model

Recommendations

Chalk talks

 

AIM324 Maximize ML model accuracy with advanced hyperparameter tuning strategies

AIM328 Explain your ML models with Amazon SageMaker Clarify

Recommendations

Builder’s sessions

 

AIM310 Learn and experiment with ML using Amazon SageMaker Studio Lab

Conclusion

Final recommendations

  • Chalk talks have more Q&A time than lecture time. So, if you prefer more lecture time, look for breakout sessions.
  • Save some time for the sessions that are not yet scheduled. AWS tends to launch outstanding new features after which time the sessions are scheduled.
  • As you can see, we really enjoy workshops. Get your hands dirty by attending at least one workshop. You can watch most sessions online, but can’t attend the workshops.
  • Don't forget the Expo hall! You can find amazing AWS Partners over there.
  • Wear comfortable shoes.
  • Get AWS Certified!
  • Talk to each other and enjoy Vegas!
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