MachineLearning
Lowy Shin edited this page Mar 13, 2020
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Logistic Regression
- https://en.wikipedia.org/wiki/Logistic_regression
- In statistics, the logistic model (or logit model) is used to model the probability of a certain class or event existing such as pass/fail, win/lose, alive/dead or healthy/sick. This can be extended to model several classes of events such as determining whether an image contains a cat, dog, lion, etc. Each object being detected in the image would be assigned a probability between 0 and 1 and the sum adding to one.
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Word2Vec
- https://en.wikipedia.org/wiki/Word2vec
- Word2vec is a group of related models that are used to produce word embeddings.
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Doc2Vec
- Distributed Representations of Sentences and Documents
- https://arxiv.org/pdf/1405.4053.pdf
- Explain by Japanese : https://www.slideshare.net/TomofumiYoshida2/distributed-representations-of-sentences-and-documents-70011001
- It is not extend algorithm of Word2Vec.
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LDA(Latent Dirichlet allocation)
- One of topic modeling algorithm.
- https://en.wikipedia.org/wiki/Latent_Dirichlet_allocation
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BERT
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