Machine Learning
Resources
2018/12/7: Support Vector Machine from
Jason Weston, NEC Labs America, 4 Independence Way, Princeton, USA
LIBSVM -- A Library for Support Vector Machines
2018/12/14(五): 跨領域人工智慧競賽活動報名網站，
國立高雄大學「人工智慧與影像技術學程」修習辦法
2019/1/4: CS229: Machine Learning
Autumn 2018 from Stanford University:
k-means clustering
Mixture of Gaussians
The EM Algorithm
Factor Analysis
Principal Components Analysis
Independent Components Analysis
9.54: Computational Aspects of Biological Learning
Fall 2014 from MIT:
Lecture 13: Unsupervised learning: Clustering by Daniel Harari
Lecture 10: Unsupervised learning: PCA, background and applications by
Shimon Ullman
Lecture 12: Unsupervised learning: Independent Components Analysis (ICA) by
Shimon Ullman
2019/1/11: CS229: Machine Learning
Autumn 2018 from Stanford University:
Reinforcement Learning and Control
9.54: Computational Aspects of Biological Learning
Fall 2014 from MIT:
Lecture 17: Reinforcement Learning: Introduction, model-based RL by Shimon Ullman
Lecture 18: Reinforcement Learning: Model-free RL (part I) by Shimon Ullman
Lecture 19: A reinforcement learning model of song acquisition in the bird by Michale Fee
Lecture 20: Reinforcement Learning - Model-free RL II, applications + Biology of RL: dopamine, RL brain structures by Shimon Ullman
Example:
Minimal and clean examples of reinforcement learning algorithms presented by RLCode team.
Homework Assignments
Final Project