Kindlytree's garden is the place to collect articles about my life, work and study. It's goal is to enjoy a balanced life among work, study, family and oridnary social life. Hopefully the garden is also a place to rest and rethink, and also a happy place to visit for all guests.
- Linear Algebra Review and Reference(1)
- Linear Algebra Review and Reference(2)
- Entropy_Cross_Entropy_KL_Divergence
- Taylor_expansion_Multi_Variables_Functions_extremum
- Part I Linear_Regression code
- Part II Classification and logistic regression
- Logistic_Regression code
- Newton's Method Newton's Method code
- Part III Generalized Linear Models
- Part IV Generative Learning algorithms
- Gaussian discriminant analysis
- Naive Bayes
- Part V Kernel Methods
- Part VI SVM
- Part VI Learning Theory
- Bias/variance tradeoff
- Preliminaries
- The case of finite H
- The case of infinite H
- Regularization and model selection
- Adaboost
- Decision Tree
- Random Forest
- Tree Boosting
- GBDT
- XGBoost
- LightGBM
- HMM
- MRF
- The k-means clustering algorithm
- Mixtures of Gaussians and the EM algorithm
- Part IX The EM algorithm
- Part X Factor analysis
- Part XI Principal components analysis
- Part XII Independent Components Analysis
- Part XIII Reinforcement Learning and Control
- CNN
- RNN
- [LSTM]
- GAN
- VAE
- Understanding Deep Learning
- Object Detection
- Semantic/Instance Segmentation
- Image to image translation
- machine learning content preparation