Module 1: Introduction of GPU Objectives Describe the basic backgrounds of GPU Explain the basic concept of data parallel architectures Readings Required Readings: CUDA Programming gu...

Overall review Given the recent rise of LLMs, I decided to switch the order of my courses and take deep learning as soon as I can (I originally intended to do Machine Learning first). I took this ...

Overall review I took this module along with deep learning, mainly because I thought it was good to get some familiarity with the computing side of things (since I am came from a math background) ...

Module 1: Introduction to Neural Networks Lesson 1: Linear Classifiers and Gradient Descent Readings DL book: Linear Algebra background DL book: Probability background DL book: ML Backgro...

Personal Note Currently I am pursuing a online masters in computer science from Georgia Tech. Part of the coursework (that I intend to take) such as Deep Learning and Reinforcement Learning recomm...

Overall review I took network science over the summer since there are no exams, and all quizzes are open book and not proctored. There are a total of 12 quizzes over the summer (over 14 Chapters w...

Module one L1 - What is Network Science? Overview Required Reading Chapter-1 from A-L. Barabási, Network Science, 2015. Recommended Reading Read at least one of the following papers, depe...

Overall review Given my prior experience in ML, I pair this course with IIS. My intention in taking this course is to reduce my learning curve in future courses: Python refresher (Pandas, Nump...

Overall review I took introduction to info sec along with ML4T. When I took gios, there were a couple of people that recommended pairing IIS since fall 2022, the course is 100% project based. ...

Overall review I took introduction in operating systems during fall 2022 as my first course in OMSCS. My only preparation / experience with C is from CS50X by harvard. If you are completely ne...