| Course Name | Start Date | Rating | |
|---|---|---|---|
|
|
Building Recommender Systems with Machine Learning and AI
Coursera
14 weeks, 1 hour a week
14 weeks, 1 hour a week
|
||
|
|
Interpretable Machine Learning
Coursera
3 weeks, 4 hours a week
3 weeks, 4 hours a week
|
||
|
|
Recommender Systems with Machine Learning
Coursera
6 weeks, 1 hour a week
6 weeks, 1 hour a week
|
||
|
|
Introduction to Data Engineering on Google Cloud
Coursera
8 weeks, 1 hour a week
8 weeks, 1 hour a week
|
||
|
|
Fractals and Scaling
Complexity Explorer
7 weeks, 2-4 hours a week
7 weeks, 2-4 hours a week
|
||
|
|
The Nature of Code
Kadenze
30 hours
30 hours
|
||
|
|
Mining Massive Datasets
edX
7 weeks, 5-10 hours a week
7 weeks, 5-10 hours a week
|
||
|
|
Compilers
edX
10 weeks, 5-10 hours a week
10 weeks, 5-10 hours a week
|
||
|
|
Databases: Introduction to Relational Databases
edX
1 week, 5-10 hours a week
1 week, 5-10 hours a week
|
||
|
|
Introduction to Dynamical Systems and Chaos
Complexity Explorer
10 weeks, 3-6 hours a week
10 weeks, 3-6 hours a week
|
||
|
|
Introduction to Recommender Systems: Non-Personalized and Content-Based
Coursera
6 weeks, 4 hours a week
6 weeks, 4 hours a week
|
||
|
|
Matrix Factorization and Advanced Techniques
Coursera
6 weeks, 2 hours a week
6 weeks, 2 hours a week
|
||
|
|
Artificial Intelligence for Robotics
Udacity
8 weeks
8 weeks
|
||
|
|
Compilers
Coursera
11 weeks, 8-10 hours a week
11 weeks, 8-10 hours a week
|
||
|
|
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
Coursera
4 weeks, 4 hours a week
4 weeks, 4 hours a week
|
||
|
|
Algorithms: Design and Analysis, Part 2
Coursera
7 weeks, 6-10 hours a week
7 weeks, 6-10 hours a week
|
||
|
|
Cryptography I
Coursera
7 weeks, 3 hours a week
7 weeks, 3 hours a week
|
||
|
|
Startup Engineering
Coursera
12 weeks, 2-20 hours a week
12 weeks, 2-20 hours a week
|
||
|
|
Machine Learning
Coursera
11 weeks, 61 hours a week
11 weeks, 61 hours a week
|
||
|
|
Natural Language Processing | ||
|
|
Transport Systems: Global Issues and Future Innovations
FutureLearn
2 weeks, 4 hours a week
2 weeks, 4 hours a week
|
||
|
|
Natural Language Processing in TensorFlow
Coursera
4 weeks, 6 hours a week
4 weeks, 6 hours a week
|
||
|
|
Udemy
1 hour 35 minutes
1 hour 35 minutes
|
||
|
|
Build Batch Data Pipelines on Google Cloud
Coursera
4 weeks, 3 hours a week
4 weeks, 3 hours a week
|
||
|
|
Human Behavioral Biology
YouTube
1 day 13 hours
1 day 13 hours
|
||
|
|
Convolutional Neural Networks for Visual Recognition
YouTube
20 hours
20 hours
|
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