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Complete and Simple PCA SVD Tutorial Note
Ref: http://setosa.io/ev/principal-component-analysis/ https://matthew-brett.github.io/teaching/pca_introduction.html https://blog.statsbot.co/singular-value-decomposition-tutorial-52c695315254 http://www.bluebit.gr/matrix-calculator/calculate.aspx PCA is the major method to reduce features/variables before you train your data in the machine learning. It uses the top K most varianceRead More
......Junction Tree local consistency and global consistency
This note is to describe the Junction Tree local consistency and global consistency (text book: P109, Example 6.1) Reference: pgm_Princeton_COS513 Foundations of Probabilistic Modelinglecture7.pdf gouws_python_2010: a master thesis on howRead More
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