Seoul AI
# Seoul AI is the largest international Artificial Intelligence community in Seoul. Group of professionals from different fields meets in the heart of Seoul to discuss AI or implement various AI applications.

- Evaluation of classification model for imbalanced dataset (Cinyoung, presentation)
- Knowledge Distillation (Martin, presentation)
- Seoul AI 2017 (presentation)

- Hive & Spark & Zeppelin: Useful tips for gathering different data sources (Cinyoung, presentation)
- Power of Prolog (Martin, presentation)
- AI and Blockchain (Raj & Ryan, presentation)

- Mini AI Hackathon

- NALBI - How we started AI company, What Computer Vision technology we are developing, …
- Linear Regression (part 2) (Martin, presentation/github)
- Introduction To Cryptocurrency Ecosystem (part 1) (Raj, presentation)

- Kaggle - Personalized Medicine (part 2) (Cinyoung, github)
- Linear Regression (part 1) - Ordinary Least Squares (Martin, presentation/Jupyter Notebook)

- Object Detection - part 2 (Dae-Yong, presentation)
- Kaggle - Personalized Medicine (part 1) (Cinyoung, github)

- Object Detection - part 1 (Dae-Yong, presentation)
- Trading Bitcoin and Online Time Series Prediction (Adel, presentation)

- Bayesian Regression (Cinyoung, presentation)
- Meta Learning (Martin, presentation/github)

- Introduction to Blockchain & Ethereum (Raj, presentation pdf/pptx)
- Pitching idea for Nexar challenge plus lane detection using DL (Renaud & Han Bin, presentation)

- Non Technical Overview of Deep Learning (Han Bin, presentation)
- Lock-less SGD (Renaud, presentation)

- Kalman Filter (Zaur, presentation)
- Recurrent Neural Networks (Martin, presentation/github)
- Sum Two Binary Numbers Using RNN (Martin, Jupyter Notebook)

- Bayesian Classification in Computer Vision (Dae-Yong, presentation)
- k-Means (Martin, presentation/github)

- Automatic Viewpoint Selection on 360° Videos (Dae-Yong, presentation)
- Autoencoders (Martin, presentation/github)

- Introduction to Quantum Computing (Adel, presentation)
- Probability basics (Cinyoung, jupyter notebook)
- Artificial Neural Networks (Martin, github)

- Spark introduction (HwangJohn, presentation)
- Practice - Topic Modeling (Cinyoung, github)
- Multinomial Naive Bayes Classifier (Martin, presentation)

- T-Rex Runner (Martin, presentation)
- Reinforcement Learning, Deep Q Learning, ConvnetJS, Dead Network, NaN Weights

- Hand Sign Recognition Using Hidden Markov Models (Cinyoung)

- T-Rex Runner (Martin, presentation)
- Genetic Algorithm, Reinforcement Learning, Neural Networks

- Presentation of The Expression of Emotions in 20th Century Books (Adel, paper)
- Emotions, Fear, Language Behavior, Culture, Statistical data, Cultural evolution

- Harmonic Search (Victor)

- Sudoku solver (Cinyoung, presentation)
- Constraint Propagation, Search, Elimination, Naked Twins

- Image Segmentation Using Genetic Algorithm (Martin, github)
- Problem Encoding, Evaluation Of Fitness, Selection, Crossover, Mutation, Algorithm Evaluation

Meeting for the first time. Discussing what direction meetup will evolve.