Shares From Internet

1. Handling Categorical Data in Python
   • Categorical features may have a very large number of levels, known as high cardinality, (for example, cities or URLs), where most of the levels appear in a relatively small number of instances.
   • Many machine learning models, such as regression or SVM or sklearn packages, are algebraic.
   • One popular method is embedding by Neural Network
2. How to Build, Train, and Deploy a Machine Learning Model with Amazon SageMaker | AWS
3. 谈谈机器学习模型的部署
4. 图解机器学习
5. linux screen command: How To Use Linux Screen
   1. screen -S my_screen_job_name
   2. run my python job
   3. ctrl + a, then d
   4. screen -ls
   5. screen -r my_screen_job_name
   6. ctrl + A, then :quit
6. Kill detached screen session
7. Github上7k+星的Pytorch教程和2w+星的tensorflow教程推荐: pytorch
8. Github上7k+星的Pytorch教程和2w+星的tensorflow教程推荐: tensorflow