Online Course: Social Network Analytics

Coursera Link: Social Network Analytics

Easy-to-follow course, by studying this course, I was able to implement the following algorithm in C# for my library:

• Eigen Vector Centrality Measure
• Degree Centrality Measure
• Closeness Centrality Measure
• Betweenness Centrality Measure
• Community Detection

Online Course: Introduction to Artificial Intelligence

Udacity Link: Intro to Artificial Intelligence

Easy-to-learn course, by studying the course, I implemented the following algorithms in C# for my library:

• Probabilistic inference: Bayesian Network and Inference
• Computer Vision: Sobel Filter (Edge Detection)
• Computer Vision: Gaussian Filter (Image Blur)
• Computer Vision: Prewitt Filter (Edge Detection)
• Computer Vision: Kirsh Filter (Edge Detection)
• Computer Vision: Linear and gradient filters
• Computer Vision: Average Filter (Noise Removal)
• Computer Vision: Fog Filter (Fog effect)
• Computer Vision: SSD / SAD and minimization / Disparity Map
• NLP: Language Identifier
• NLP: Text Segmentation
• NLP: Spell Correction

Online Course: Artificial Intelligence for Robotics

Udacity Link: Artificial Intelligence for Robotics

Easy-to-learn course, by studying the course, I implemented the following algorithms in C# for my library:

• Bayesian Filter: Histogram Filter (Uni-Variate)
• Bayesian Filter: Particle Filter (Multi-Variate)
• Bayesian Filter: Kalman Filter (Multi-Variate)
• Robotics: SLAM (Simultaneous Localization and Mapping) (Multi-Variate)
• Controller: Tweedle for PID Controller parameter tuning
• Controller: Smoothing function for path