[D] What are the major advantages of having deep understanding of ML algorithms?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • HungaBunga

    HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

  • You can more easily understand errors. Not only why it happens but also what happens with them. Depending on your use case, you might save a lot of time and cost by selecting the correct model(s) in advance compared to using the HungaBunga classifier. Additionally, you might save a lot of time once/if the model doesnt work anymore. Here is an basic example that I have seen in the real world:

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo
NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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