coursera.md

Why are you applying for Financial Aid?

I’m a student from Dnipro, Ukraine. I am currently 21 years old and studying Cybersecurity in Dnipropetrovsk National University of Railway Transport named after academician V. Lazaryan (DNURT). I am interested in studying Computer Science, Cybersecurity and Artificial Intelligence (especially Machine Learning). Unfortunately, because all courses at my local universities are highly outdated and poorly designed I take all the possibilities to learn from free online resources and I consider Coursera one of the best so far.

I live only for my scholarship (925 UAH or about $37 per month) and a part-time job (30-50$ per month). In this circumstance, it is very much difficult for me to gather such amount of money for the course. Financial Aid will help me take this course without any adverse impact on my monthly essential needs and make a step into wonderful future of possibilities. So I’m badly in need of this financial aid and would be grateful for such a great opportunity.

I apologize for possible grammatical errors since English is my second language

How will taking this course help you achieve your career goals?

I am currently working on my thesis work on "Course development of practical classes on applying artificial intelligence in cybersecurity" where I am planning to use a lot of Machine Learning and hope that resulting work will be a good starting point for other future students in Information Security and Machine Learning in my university.

I plan to enter postgraduate studies and continue my scientific work in the field of machine learning. My cherished dream is to work in the Deep Reinforcement Learning field. To work in this field, I need proof of my competence and a certificate from such a wonderful course as "Neural Networks and Deep Learning" would be an excellent contribution to the future of my career.

So far I have already audited the original Machine Learning course by Stanford University 2008 (https://www.coursera.org/learn/machine-learning/home/welcome), Linear Algebra - Foundations to Frontiers (https://www.edx.org/course/laff-linear-algebra-foundations-to-frontiers), Statistics and R (https://www.edx.org/course/statistics-r-harvardx-ph525-1x-1)

I plan to complete (or at least audit) the following Coursera courses: Neural Networks and Deep Learning: https://www.coursera.org/learn/neural-networks-deep-learning/home/welcome Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization: https://www.coursera.org/learn/deep-neural-network Structuring Machine Learning Projects: https://www.coursera.org/learn/machine-learning-projects Convolutional Neural Networks: https://www.coursera.org/learn/convolutional-neural-networks Sequence Models: https://www.coursera.org/learn/nlp-sequence-models

I already have knowledge of Linear algebra, Statistics, and Software Development and currently, I am also working on following courses: "Reinforcement Learning" course by UCL and David Silver: http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html Udacity "Reinforcement Learning" by Georgia Tech: https://www.udacity.com/course/reinforcement-learning--ud600 Udacity "Intro to Machine Learning": https://www.udacity.com/course/intro-to-machine-learning--ud120