Review knowledge, check yourself, and enter a new field-deep learning.
1. Overview of machine learning (1)
2. Linear model (two)
Three, supervised learning algorithm
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Logistic regression (3)
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Perceptron (4)
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Support Vector Machine (SVM) (5)
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K Nearest Neighbor Method (KNN) (6)
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Decision Tree Series
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Ensemble learning (ten)
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Probabilistic Graphical Model (17)
- Naive Bayes (18)