Dilshodbek Ikromov

Education

New Uzbekistan University
BSc in Applied Mathematics

Self-Study

Courses I worked through on my own, outside the degree, to go deeper in the areas I care about. Every course listed here I finished. Where there is a [github] link, the repository holds my code and my solutions to the homeworks.

Mathematics

• MATH 300: Intro to Mathematical Reasoning — University of Washington [website] [videos] [book]
• 21-228: Discrete Mathematics — Po-Shen Loh, CMU [website]
• [ongoing] STAT 110: Probability — Joseph K. Blitzstein, Harvard [videos]
• Topological Data Analysis — New Uzbekistan University [website]

Computer Science

• CS 61A: Structure and Interpretation of Computer Programs — John DeNero, UC Berkeley [website] [github]
• 15-251: Great Ideas in Theoretical Computer Science — Ryan O'Donnell, CMU [videos]
• Scientific Computing [book] [github]
• Data 100: Principles and Techniques of Data Science — Josh Grossman, UC Berkeley [website] [github]
• CS 246: Mining Massive Datasets — Jure Leskovec, Stanford [website] [github]
• CS 229: Machine Learning — Tengyu Ma, Stanford [website]
• 11-785: Introduction to Deep Learning — Bhiksha Raj, CMU [website] [github]
• [ongoing] CS 336: Language Modeling from Scratch — Percy Liang, Stanford [website] [github]
• [ongoing] 11-711: Advanced Natural Language Processing — Sean Welleck, CMU [website] [github]