Remove 2020 Remove Big Data Remove K-nearest Neighbors
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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. Moving on to more recent work.

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Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. Moving on to more recent work.

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article thumbnail

Coactive AI’s CEO: quality beats quantity for data selection

Snorkel AI

I’m Cody Coleman and I’m really excited to share my research on how careful data selection can make ML development faster, cheaper, and better by focusing on quality rather than quantity. So we waste a lot of time, money, and just energy on data points that aren’t actually valuable. Moving on to more recent work.

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

Feature engineering Game tracking data is captured at 10 frames per second, including the player location, speed, acceleration, and orientation. and Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ). We design a K-Nearest Neighbors (KNN) classifier to automatically identify these plays and send them for expert review.

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