Deep Learning, Machine Learning - Data MiningLeave a comment

Batch Normalization and why it works

January 6, 2020January 4, 2021 Tung.M.Phung

Batch Normalization (BatchNorm) is a very frequently used technique in Deep Learning, however, the reason why it works is often interpreted ambiguously. Continue reading Batch Normalization and why it works

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

Classification Models, Machine Learning - Data MiningLeave a comment

Logistic Regression tutorial

December 13, 2019December 3, 2020 Tung.M.Phung

Following the previous overview, this article attempts to delve deeper into Logistic Regression. Continue reading Logistic Regression tutorial

Machine Learning - Data Mining, Regression ModelsLeave a comment

Linear Regression in Python

December 6, 2019July 31, 2020 Tung.M.Phung

Train and cross-validate your Linear regression on Python with pre-defined or customized evaluation functions. Continue reading Linear Regression in Python

Machine Learning - Data Mining, Regression ModelsLeave a comment

How to make a Linear Regressor? (theory)

November 24, 2019July 31, 2020 Tung.M.Phung

This article presents the formulas for coming up with the best-fitted linear regression line. Continue reading How to make a Linear Regressor? (theory)

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