Checklist

Summary of machine learning algorithms in interviews

The topics that I plan to cover:

• Tree-based algorithms

  • Decision tree

  • CART

  • Adaboost

  • GBDT

  • Random Forest

  • XGBOOST

  • LightGBM

• SVM

• Clustering

  • Kmeans

  • GMM

• Anomaly Detection

• Linear regression

• Logistic regression

• Deep Learning Basic

  • DNN

  • RNN

  • LSTM

  • GRU

  • LSTM with Attention

  • Transformer

  • BERT

  • Word2Vec

• Object Detection

  • R-CNN

  • Fast R-CNN

  • Faster R-CNN

  • Mask Faster R-CNN

  • YOLO family (maybe)