Educational Tool for Machine Learning
Mohd Shamrie Sainin
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Abstract
AI
AI
The paper discusses the development of an educational tool aimed at facilitating the understanding and application of machine learning algorithms for beginners. It identifies the challenges faced by students in learning complex machine learning tools and advocates for a hands-on approach to education through simulation and practical application. Comparisons are made with existing tools, and the need for a more accessible platform for learners is emphasized, highlighting the importance of experience-based learning in the field of machine learning.
Key takeaways
- Machine learning is one of Artificial Intelligence areas that focus on studying the algorithms for learning from data so some knowledge can be extracted.
- Apart from Weka, specific machine learning tool known as EGALT (Educational Genetic Algorithm Learning Tool) [10] that specifically developed to help students to facilitate Genetic Algorithm course.
- It employs various types of algorithm in Machine learning that consists of three modules known as data preprocessing, machine learning function selection, and output processing.
- Data file reader Data file construction Data file object collection (instances memory) Data file viewer Machine learning algorithms collection (Algorithms Module) User Interfaces and simulation Testing utility An interface and simulation module will interact with user and thus acquiring the data that has been simulated using certain machine learning algorithm from the Algorithm Module.
- Through simulation, the user can actually experiment how the data representation can affect the learning algorithms.
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