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ELU activation: A comprehensive analysis

February 16, 2020July 31, 2020 Tung.M.Phung

Through various experiments, ELU is accepted by many researchers as a good successor of the original version (ReLU). Continue reading ELU activation: A comprehensive analysis

Classification Models, Machine Learning - Data Mining2 Comments

Logistic Regression: Advantages and Disadvantages

December 28, 2019July 31, 2020 Tung.M.Phung

In the previous blogs, we have discussed Logistic Regression and its assumptions. Today, the main topic is the theoretical and empirical goods and bads of this model. Continue reading Logistic Regression: Advantages and Disadvantages

Deep Learning, Machine Learning - Data MiningLeave a comment

Rectifier Linear Unit (ReLU)

December 28, 2019July 31, 2020 Tung.M.Phung

Despise its simplicity, ReLU previously achieved the top performance over various tasks of modern Machine Learning. Continue reading Rectifier Linear Unit (ReLU)

Classification Models, Machine Learning - Data MiningLeave a comment

Naive Bayes classifier: a comprehensive guide

December 25, 2019July 31, 2020 Tung.M.Phung

In this blog post, we show and explain the Bayes formula, how to build a Naive Bayes classifier, its assumptions, strengths, and weakness. Continue reading Naive Bayes classifier: a comprehensive guide

Machine Learning - Data Mining, Regression ModelsLeave a comment

Advantages of Linear Regression

October 8, 2019July 31, 2020 Tung.M.Phung

Linear regression is frequently used in practice because of these 7 reasons. Continue reading Advantages of Linear Regression