Bayes’ Theorem is about more than just conditional probability, and Naive Bayes is a flavor of the theorem which adds to its complexity and usefulness. (more…)
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TL;DR - I wrote annotation-mode, which is a emacs minor mode for annotating text documents for machine learning purposes. Recently at work I had to annotate some text documents for a piece of NLP work. The annotation involves marking regions of the text ... (more…)
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3rd issue of Machine Learning Monthly! Keeping you up to date with the industry, keeping your skills sharp, without wasting your valuable time. (more…)
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For many machine learning practitioners, training loop is a universally agreed upon concept as demonstrated by numerous documentations, conference papers to use the word without any reference. It would a helpful concept for many beginners to get familiar ... (more…)
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Transparent machine learning is a research proposal that would enable machine learning to produce source code in typical programming languages that humans ca... (more…)
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