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Build a crop segmentation machine learning model with Planet data and Amazon SageMaker geospatial capabilities

AWS Machine Learning Blog

In this analysis, we use a K-nearest neighbors (KNN) model to conduct crop segmentation, and we compare these results with ground truth imagery on an agricultural region. However, Landsat 8 lower-resolution imagery could have been used as a bridge between 2015 and 2017.

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

Snorkel AI

So for example, in 2015, fidget spinners were all the rage. So in these two plots, we actually calculated the largest connected component based on the K-nearest neighbor graph for different values of k and we plotted the CDF. Imagine that something new happens that you want to identify. AB : Got it. Thank you.

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

Snorkel AI

So for example, in 2015, fidget spinners were all the rage. So in these two plots, we actually calculated the largest connected component based on the K-nearest neighbor graph for different values of k and we plotted the CDF. Imagine that something new happens that you want to identify. AB : Got it. Thank you.

article thumbnail

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

Snorkel AI

So for example, in 2015, fidget spinners were all the rage. So in these two plots, we actually calculated the largest connected component based on the K-nearest neighbor graph for different values of k and we plotted the CDF. Imagine that something new happens that you want to identify. AB : Got it. Thank you.

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Customizing coding companions for organizations

AWS Machine Learning Blog

Formally, often k-nearest neighbors (KNN) or approximate nearest neighbor (ANN) search is often used to find other snippets with similar semantics. He is a recipient of the Google faculty award (2015), ACM SIGSOFT Distinguished paper award (ISSTA 2016) and Maurice Halstead award (Purdue 2006).

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