Home Forums Kamanja Forums Data Science & Models Top 10 Algorithms Machine Learners Need to Know

This topic contains 0 replies, has 1 voice, and was last updated by  Greg Makowski 11 months, 2 weeks ago.

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    Greg Makowski

    http://www.kdnuggets.com/2016/08/10-algorithms-machine-learning-engineers.html

    The posting reviews the algorithms as well.  Kamanja can run all 10 of these in Python, or score algorithms 1-7 in PMML.

    Supervised Learning

    1. Decision Trees

    2. Naive Bayes Classification

    3. Ordinary Least Squares regression

    4. Logistic Regression

    5. Support Vector Machines

    6. Ensemble Methods  (Kamanja’s DAG feature, for a Directed Acyclic Graph)

    Unsupervised Learning

    7. Clustering

    8. Principal Component Analysis

    9. Singular Value Decomposition.

    10. Independent Component Analysis

     

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