2019, Clean Data and Clustering - Data Science Current

Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

FEBRUARY 10, 2023

As an example, in the following figure, we separate Cover 3 Zone (green cluster on the left) and Cover 1 Man (blue cluster in the middle). We design an algorithm that automatically identifies the ambiguity between these two classes as the overlapping region of the clusters. Visualizing data using t-SNE.”

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Introduction to Autoencoders

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JULY 10, 2023

During training, the input data is intentionally corrupted by adding noise, while the target remains the original, uncorrupted data. The autoencoder learns to reconstruct the clean data from the noisy input, making it useful for image denoising and data preprocessing tasks.

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Welcome to a New Era of Building in the Cloud with Generative AI on AWS

AWS Machine Learning Blog

NOVEMBER 30, 2023

Nobody else offers this same combination of choice of the best ML chips, super-fast networking, virtualization, and hyper-scale clusters. This typically involves a lot of manual work cleaning data, removing duplicates, enriching and transforming it.

AWS

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Data Science Current

Identifying defense coverage schemes in NFL’s Next Gen Stats

Introduction to Autoencoders

Welcome to a New Era of Building in the Cloud with Generative AI on AWS

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