Machine Learning A-Z Briefly Explained

Author(s): Gencay I.

Originally published on Towards AI.

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In this article, I attempt to indicate to you machine learning A-Z briefly. You can read this article before an interview to freshen up your memory. This term is important ‘briefly’ for you to recall this explanation quickly during your interview.

· Machine Learning Types· Machine Learning Model Types ∘ Linear Regression ∘ Multiple Linear Regression ∘ Polynomial Linear Regression· Classification ∘ Real-Life Examples ∘ Logistic Regression ∘ Naive Bayes ∘ K-Nearest Neighbors ∘ Decision Tree ∘ Support Vector Machines· Clustering ∘ Real-life Examples ∘ K-means clustering ∘… Read the full blog for free on Medium.

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