Remove 2013 Remove Data Preparation Remove ML
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Your guide to generative AI and ML at AWS re:Invent 2023

AWS Machine Learning Blog

Now all you need is some guidance on generative AI and machine learning (ML) sessions to attend at this twelfth edition of re:Invent. In addition to several exciting announcements during keynotes, most of the sessions in our track will feature generative AI in one form or another, so we can truly call our track “Generative AI and ML.”

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Accelerate time to business insights with the Amazon SageMaker Data Wrangler direct connection to Snowflake

AWS Machine Learning Blog

Amazon SageMaker Data Wrangler is a single visual interface that reduces the time required to prepare data and perform feature engineering from weeks to minutes with the ability to select and clean data, create features, and automate data preparation in machine learning (ML) workflows without writing any code.

ML 81
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Train An Emotion Recognition Model Using Multiple Datasets-Part 1

Mlearning.ai

We then go over all the project components and processes, from data preparation, model training, and experiment tracking to model evaluation, to equip you with the skills to construct your own emotion recognition model. FER, Facial Expression Recognition, is an open-source dataset released in 2013. What is the FER dataset?