Rahul Madhavan - MOOC transcript, reviews, and interests

Course Name	Start Date	Rating
Princeton University Algorithms, Part II Coursera 63 hours 63 hours	Self-Paced	4.8 21 Ratings
fast.ai Practical Deep Learning For Coders Independent 7 weeks, 10 hours a week 7 weeks, 10 hours a week	Self-Paced	4.1 7 Ratings
Santa Fe Institute Introduction to Dynamical Systems and Chaos Complexity Explorer 10 weeks, 3-6 hours a week 10 weeks, 3-6 hours a week	Self-Paced	4.9 131 Ratings
Santa Fe Institute Introduction to Agent-based Modeling Complexity Explorer	Not Currently Offered	4.6 90 Ratings
California Institute of the Arts Introduction to Real-Time Audio Programming in ChucK Kadenze 48 hours 48 hours	Self-Paced	5.0 34 Ratings
Goldsmiths University of London Machine Learning for Musicians and Artists Kadenze 50 hours 50 hours	Self-Paced	4.8 94 Ratings
Processing Foundation The Nature of Code Kadenze 30 hours 30 hours	Self-Paced	5.0 14 Ratings
Massachusetts Institute of Technology Circuits and Electronics 1: Basic Circuit Analysis edX 5 weeks, 5-7 hours/week 5 weeks, 5-7 hours/week	Self-Paced	4.5 52 Ratings
Stanford University Cryptography I Coursera 23 hours 23 hours	Self-Paced	4.7 53 Ratings
Stanford University Machine Learning Coursera 11 weeks, 61 hours a week 11 weeks, 61 hours a week	Not Currently Offered	4.8 375 Ratings