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Algorithms: Design and Analysis, Part 2
Coursera
7 weeks, 6-10 hours a week
7 weeks, 6-10 hours a week
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Finished
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Algorithms, Part I
Coursera
54 hours
54 hours
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On-Demand
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Algorithms, Part II
Coursera
63 hours
63 hours
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On-Demand
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Principles of Computing (Part 1)
Coursera
19 hours
19 hours
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On-Demand
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Paradigms of Computer Programming – Fundamentals
edX
6 weeks, 4-6 hours a week
6 weeks, 4-6 hours a week
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On-Demand
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Approximation Algorithms Part I
Coursera
1 day 11 hours 38 minutes
1 day 11 hours 38 minutes
|
On-Demand
|
|
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Deep Learning Part 1 (IITM)
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Finished
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Python Data Structures
edX
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
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On-Demand
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|
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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
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On-Demand
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
Coursera
23 hours 35 minutes
23 hours 35 minutes
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On-Demand
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Neural Networks and Deep Learning
Coursera
1 day 35 minutes
1 day 35 minutes
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On-Demand
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Algorithmic Thinking (Part 2)
Coursera
12 hours
12 hours
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On-Demand
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