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roboticcam committed Nov 14, 2018
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Expand Up @@ -29,11 +29,14 @@ Classification: Logistic and Softmax; Regression: Linear, polynomial; Mix Effect

* ### [Recommendation system](https://github.com/roboticcam/machine-learning-notes/blob/master/recommendation.pdf) ###
collaborative filtering, Factorization Machines, Non-Negative Matrix factorisation, Multiplicative Update Rule
推荐系统: 协同过滤,分解机,非负矩阵分解,乘法更新规则的介绍

推荐系统: 协同过滤,分解机,非负矩阵分解,和期中“乘法更新规则”的介绍

* ### [Dimension Reduction](https://github.com/roboticcam/machine-learning-notes/blob/master/dimension_reduction.pdf) ###
classic PCA and t-SNE

经典的PCA降维法和t-SNE降维法

* ### [Introduction to Data Analytics](https://github.com/roboticcam/machine-learning-notes/blob/master/AI_and_machine_learning.pdf) and [associate Jupyter notebook](https://github.com/roboticcam/machine-learning-notes/blob/master/industry_master_class.ipynb) ###
Three perspectives into machine learning and Data Science. Supervised vs Unsupervised Learning, Classification accuracy

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