Words to vector, catch word meanings by word embeddings.

Definition, implementation and pros and cons of decision tree models.

Notes for NLP project~

Record problems in the “BERT” paper.

Recording a task to solve a movie comment sentiment analysis task~

Steps to learn and master a kind of model~

Some types of plots and how can they be helpful for machine learning tasks, such as feature selection.

Sequence Models and RNN

Including methods implemented during EDA and data lacking.

Different data types in ML.