Fabrizio Romanelli - MOOC transcript, reviews, and interests

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Showing 12 courses

Course Name	Start Date	Rating
Université catholique de Louvain Paradigms of Computer Programming – Fundamentals edX 6 weeks, 4-6 hours a week 6 weeks, 4-6 hours a week	Self-Paced	5.0 5 Ratings
Rice University Principles of Computing (Part 1) Coursera 5 weeks, 4 hours a week 5 weeks, 4 hours a week	Self-Paced	4.6 30 Ratings
École normale supérieure Approximation Algorithms Part I Coursera 5 weeks, 7 hours a week 5 weeks, 7 hours a week	Self-Paced	5.0 2 Ratings
Princeton University Algorithms, Part I Coursera 13 weeks, 4 hours a week 13 weeks, 4 hours a week	Self-Paced	4.5 61 Ratings
Princeton University Algorithms, Part II Coursera 14 weeks, 4 hours a week 14 weeks, 4 hours a week	Self-Paced	4.8 21 Ratings
Stanford University Algorithms: Design and Analysis, Part 2 Coursera 7 weeks, 6-10 hours a week 7 weeks, 6-10 hours a week	Not Currently Offered	4.7 19 Ratings
DeepLearning.AI Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Coursera 3 weeks, 8 hours a week 3 weeks, 8 hours a week	Self-Paced	5.0 3 Ratings
DeepLearning.AI Neural Networks and Deep Learning Coursera 4 weeks, 6 hours a week 4 weeks, 6 hours a week	Self-Paced	4.8 16 Ratings
Georgia Institute of Technology Data Structures & Algorithms II: Binary Trees, Heaps, SkipLists and HashMaps edX 5 weeks, 9-10 hours a week 5 weeks, 9-10 hours a week	Self-Paced	5.0 7 Ratings
University of Michigan Python Data Structures edX 7 weeks, 2-4 hours a week 7 weeks, 2-4 hours a week	Self-Paced	4.8 15 Ratings
Indian Institute of Technology Madras, NPTEL Deep Learning Part 1 (IITM) Swayam 12 weeks 12 weeks	Not Currently Offered	5.0 1 Ratings
Rice University Algorithmic Thinking (Part 2) Coursera 4 weeks, 3 hours a week 4 weeks, 3 hours a week	Self-Paced	4.4 9 Ratings

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