Quantized classifier Machine Learning in GO

ML Quantized classifier in GO

A general purpose, high performance machine learning classifier. Source Code

Examples /  Tests cover:

  • ASL Sign language Gesture recognition
  • Classify breast cancer from 9 features. 96% accuracy at 100% recall first pass with no optimization. Using 623 training rows.
  • Predict death or survival of Titanic passengers.
  • Predict Diabetes
  • Please send me data sets you would like to add to the test.

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Mentor low Latency C or C++ code

The original version of this article was published on Linked In where it has remained consistently popular.  This version is updated with additional content.

I do offer consulting services contact

I received a request to mentor low latency C/C++ code from several readers as a result of my last blog post “C++ faster than C# depends on the coding idom”    I love to mentor but thought it would help a larger group if I shared the some of the basic rules in a separate blog post.   I use these techniques for our Stock and Forex trading prediction engines but they are equally useful in most domains.   This is a huge topic area easily large enough to fill several books so please forgive items  I missed.
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Why Language Performance Matters & Some Measurements

An optimization pass that takes 10 minutes in one language could take 15 hours in the slower language.

I work from the philosophy that I want the highest performance I can afford but this is traded off against development costs and delivery time because a great solution 6 months later  may be less valuable than a good enough solution 6 months sooner.

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