Course Name | Start Date | Rating | |
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Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
16 hours 39 minutes
16 hours 39 minutes
|
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|
Principles of Machine Learning
edX
6 weeks, 3-4 hours a week
6 weeks, 3-4 hours a week
|
||
|
Game Theory I - Static Games
Complexity Explorer
1 hour
1 hour
|
||
|
Fundamentals of Machine Learning
Complexity Explorer
1 hour
1 hour
|
||
|
Introduction to Computation Theory
Complexity Explorer
1 hour
1 hour
|
||
|
Machine Learning
Udacity
16 weeks
16 weeks
|
||
|
Computability, Complexity & Algorithms | ||
|
Game Theory II: Advanced Applications
Coursera
17 hours
17 hours
|
||
|
Technical Interview
Udacity
4 weeks
4 weeks
|
||
|
Python Data Structures
edX
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
|
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