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# Machine Learning | ||
Implementations of machine learning algorithm by Python 3 | ||
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## Reference: | ||
* Machine Learning at Coursera: https://www.coursera.org/learn/machine-learning/ | ||
* Machine Learning Course CS229 at Stanford: https://see.stanford.edu/Course/CS229 | ||
* Machine Learning Foundations at NTU: https://www.youtube.com/watch?v=nQvpFSMPhr0&list=PLXVfgk9fNX2I7tB6oIINGBmW50rrmFTqf | ||
* Machine Learning Techniques at NTU: https://www.youtube.com/watch?v=A-GxGCCAIrg&list=PLXVfgk9fNX2IQOYPmqjqWsNUFl2 | ||
* Hidden Markov model (HMM): https://en.wikipedia.org/wiki/Hidden_Markov_model | ||
* Viterbi Algorithm: http:https://homepages.ulb.ac.be/~dgonze/TEACHING/viterbi.pdf | ||
* LSTM: http:https://colah.github.io/posts/2015-08-Understanding-LSTMs/ | ||
* PCA at wikipedia: https://en.wikipedia.org/wiki/Principal_component_analysis | ||
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Cheng-Lin Li@University of Southern California | ||
[email protected] or | ||
[email protected] | ||
emailto: [email protected] or [email protected] |