Get to know any terms and theories in the field of technology, plus its examples or implementations. Explained in a simple way for easy understanding.
Software engineering (SE) is crucial when it comes to developing information systems. That’s because an information system is made up of software, hardware, data, and people working together to give us useful info for making decisions. Let’s discuss about what SE means, its stages, and what it all means for us. Introduction Definition of software […]
Most of today’s games, especially those on mobile, implement gacha, loot boxes, and similar systems. This mechanism or system is regarded as one of the worst. Because, it potentially makes players addicted to gambling, and exploit them financially. Thus, several countries have begun to regulate, limit or even ban the implementation of this system.
Commonly, there are many ways to increase website speed. One of them is to optimize the web page file size. These files such as images, CSS, Javascript, HTML, and other supporting files. The smaller the file size of a web page, the better. If you use WordPress, almost all of the optimizations in this article
Learn an algorithm in autodidact is time-consuming; especially for people who are not interested in mathematics. Because, sometimes we don’t know that “we don’t know”, many things. Including when studying the Expectation – maximization (EM) Algorithm. Therefore, I could improve your understanding of the EM algorithm in this article, and I hope you can easily
The Simple Concept of Expectation – maximization (EM) Algorithm Read More »
K nearest neighbor (KNN) is a simple and efficient method for classification problems. Moreover, KNN is a classification algorithm using a statistical learning method that has been studied as pattern recognition, data science, and machine learning approach.​[1], [2]​ Therefore, this technique aims to assign an unseen point to the dominant class among its k nearest
K-Nearest Neighbors (KNN) For Iris Classification Using Python Read More »
Linear Regression with Gradient Descent is a good and simple method for time series prediction. One of the time series predictions that can be solved by this method is Energy Efficiency Prediction. And the purpose of this research article is to implement Linear Regression with Gradient Descent to predict the Heating Load (Y1). The programming
Gradient Descent for Energy Efficiency Prediction using Python Read More »
