Mobile apps for matrix/vector mathematics

• Main Author: Anderson, Kenneth
• Other Authors: Tan Eng Leong
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2020
• Subjects: Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/145092
• Institution: Nanyang Technological University

Machine Learning is now commonly used in daily life in a lot of aspects without being completely visible to users. One of everyday life example is the ability to recognize pictures which is called as OCR (Optical Character Recognition) which uses machine or deep learning to perform data computation. Such computation involves image processing algorithm which involves reading the image in a matrix form and using matrix computation methods such as the convolution operation in order to be able to extract the information from it. Afterwards, it’ll be processed in a machine learning algorithm which again, uses the given matrix computational method. Seeing how a lot of things nowadays are switching to and are already depending on machine learning algorithm to increases its performance, matrixes is becoming one of the most important tools. Despite this, it is not exposed to the public well enough since it has little usage in daily life, which ironically is also a part of it at the same time indirectly. This contradicts with how usually students at high school or university learns about matrixes computation which comes across for a short while and fly-by afterwards without showing the relevance and details of how matrixes can perform such complex method. To help students value matrixes more than it already is and to raise the attention of the importance of matrixes to the public as well.