==== Why Machine Learning ====
In January of 2015, during a private study session about machine learning, I met one of the most influential people in my life, Noriaki Oba, a chief data scientist at Japan Data Science Consortium. His story made me realise how huge volumes of data can be applied to tackling real problems and to see the joy in finding the buried treasure in large data sets. I took some highly recommended practical online courses as an initial step, such as Udacity, edX and Coursera (course names are in my CV). Through hands-on training on those educational platforms, I became completely immersed in machine learning, which intrinsically matched me as a person who loves understanding the architectures of systems instead of just memorising them. With this in mind, there has probably never been a better time to break into the machine learning field and learn how to utilise powerful algorithms to solve issues.
==== Why University of Royal Holloway ====
I want to pursue profound study of algorithms which support machine learning techniques and obtain a further stable base of deep learning theories. Fortunately, I have friends who have studied or are currently studying PhD/MSc of machine learning courses at Royal Holloway. Thanks to their shared experiences and my own research, I have realised that there are many reasons why I have a desire to study machine learning at Royal Holloway. Firstly, high quality study sessions are held by enthusiastic students inside Royal Holloway. Secondly, regarding all of the course introduction and syllabus, including the specialist area of machine learning, which I want to learn at Royal Holloway, I feel that the courses focus not only on the theory but also on the techniques applicable for solving real world problems. Lastly, those who I have talked to are prominent and highly motivated. Hence, I have seen myself studying with such ambitious students.
MSc in Machine Learning, 2019
Royal Holloway, University of London
B.Com of Japanese History in Economics, 2015