A design pattern is based on an Object Oriented Design(OOP) paradigm. Through facing the common issues related to objects, the common design pattern is extracted to solve them. The design pattern is categorized into 3 sub-classifications based on kind of problem they solve. 1)Creational Patterns: The patterns of object creation and…

The main indicator to evaluate algorithms is the speed to process data. The major way to evaluate the speed of the algorithm is Big O notation. Big O notation Big O notation is a mathematical notation that describes the limiting behavior of a function when the argument tends towards a particular value or…

Python itself has the two parts of the code which are built-in code or not. The built-in code means that the code is written inside an interpreter based on C. These type, class, and scope as the python core components have built-in code and not built-in code. This might lead…

At first, let’s quickly summarize Python Data Model based on the Python documents. The below quote in the document is the core idea of Python Data Model that you should not forget. Objects are Python’s abstraction for data. All data in a Python program is represented by objects or by…

Inducting the generic way to generate and modulate hypothesis in learning by seeing MOODLE dataset. Educational Data Mining(EDM) Description of EDM Generally, the statistic and machine learning techniques are used as analytical approaches to information generated from pedagogical settings with blended contexts. EDM is the extraction of information from educational records, usually online logs and exam…

Looking over the case study of blended learning contexts with MOODLE and arguing potential issues of educational data mining — The aim of doing educational data mining (EDM) is identifying how students learn online in “blended” module by doing the research with machine learning techniques based on the log data stored in the MOODLE database. The results can be useful for improving teaching methods and testing hypotheses about learning and…

The value of conducting educational data mining for the research in the pedagogical domain — In recent years, increasing attention to Artificial Intelligence (AI) encouraged the progress of data mining and analytics in the pedagogical domain. (Baker 2014) Data mining is the process to extract new aspects and patterns from a large data set using the methods at the crossing of machine learning, statistics, and…

A transformation from potentially valuable data into beneficial information in AI/ML projects — More engineers are faced with an increase in the number of projects relating to artificial intelligence(AI) and machine learning (ML). Many AI/ML projects seem to be algorithm oriented but each process to develop AI/ML products are centered on any procedure involving with data. Engineers in AI/ML projects need to understand…