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Oct 12, 2021 • 9 tweets • 2 min read
Here's how to create a simple property graph in Supabase
Property graphs are a great way to model highly relational data. They make relationships easy to understand and, therefore, easy to build queries. Down the road, you can use the data for graph-powered machine learning.
For example, you could query the data and load them into python libraries like networkx and stellargraph. Or, if the data is more extensive, use graph databases like neo4j or memgraph.
Oct 11, 2021 • 13 tweets • 2 min read
3 Automated Data Labeling Approaches
Manual labeling is expensive. It often requires the time of engineers and subject matter experts (SMEs). Or the cost of using custom labeling platforms and crowdsourcing.
Unlabeled data, in contrast, is usually cheap and easy to obtain. Finding ways to reduce the amount of manual labeling can reduce costs and speed up the iterative ML development workflow.