This website contains what I have learnt over the year. I decided to split my contents to be in 4 sections:
- Paper Notes contain the summary of all the research papers that I've read, so far, which might have my implementation.
- Study Notes are the notes divided by topics (for instance probabilistic machine learning, and game theory), and it is likely a mixture of various sources (textbook and lectures).
- The Blog contains a post on a summary of a subfield in machine learning (lil'log style), notes on some programmings and others.
- Other Notes contains the notes for the subject that I am very new into, such as neuroscience, philosophy, and so on. So please be cautious (You've Been Warned).
If you find any mistakes and/or wanted to contact me, please send an email to:
(first name)(last name)@gmail.com
without any separation between first and last name
Education
BSc Computer Science, MSc Computational Statistics and Machine Learning (CSML) at University College London (UCL). Courses Taken:
- Statistical Models and Data Analysis*
- Supervised Learning*
- Advanced Topics in Machine Learning (Learning Theory and Kernel Methods)
- Reinforcement Learning
- Probabilistic and Unsupervised Learning
- Approximate Inference and Learning in Probabilistic Models
- Numerical Optimisation
- Machine Learning Seminar
*Compulsory Courses