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Get Maximum Value from Your Visual Data

DataRobot

In 2020, our team launched DataRobot Visual AI. Multimodal Clustering. Multimodal Clustering provides users with a one-click, one line-of-code experience to build and deploy clustering models on any data, including images. Image recognition has a lot of applications in industries and businesses. DataRobot Visual AI.

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Intuitive robotic manipulator control with a Myo armband

Mlearning.ai

It turned out that a better solution was to annotate data by using a clustering algorithm, in particular, I chose the popular K-means. So I simply run the K-means on the whole dataset, partitioning it into 4 different clusters. The label of a cluster was set as a label for every one of its samples. We are in the nearby of 0.9

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Identifying defense coverage schemes in NFL’s Next Gen Stats

AWS Machine Learning Blog

For a given frame, our features are inspired by the 2020 Big Data Bowl Kaggle Zoo solution ( Gordeev et al. ): we construct an image for each time step with the defensive players at the rows and offensive players at the columns. He started at the NFL in February 2020 as a Data Scientist and was promoted to his current role in December 2021.

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